From 1ab5f447d2635fe6d48887a501d333a52adff5b9 Mon Sep 17 00:00:00 2001
From: Julien Odent <jodent@fb.com>
Date: Mon, 16 Oct 2017 09:43:53 -0700
Subject: [PATCH] en_CA + fix Canadian Thanksgiving

Summary:
* `en_CA` locale
* In Canada, Thanksgiving Day is the second Monday of October.
* Black Friday is the same as the US.
* However Canada observes both DDMM and MMDD formats. Defer to later, falling back to US.

Reviewed By: blandinw

Differential Revision: D6058909

fbshipit-source-id: 3d4e05e
---
 Duckling/Locale.hs                    |    5 +-
 Duckling/Ranking/Classifiers/EN_CA.hs | 2349 +++++++++++++++++++++++++
 Duckling/Rules/EN.hs                  |    3 +
 Duckling/Time/EN/CA/Corpus.hs         |   60 +
 Duckling/Time/EN/CA/Rules.hs          |   69 +
 Duckling/Time/EN/Corpus.hs            |   42 +-
 Duckling/Time/EN/GB/Corpus.hs         |   21 +
 Duckling/Time/EN/GB/Rules.hs          |   10 +
 Duckling/Time/EN/Rules.hs             |    4 -
 Duckling/Time/EN/US/Corpus.hs         |   21 +
 Duckling/Time/EN/US/Rules.hs          |   11 +
 duckling.cabal                        |    3 +
 exe/Duckling/Ranking/Generate.hs      |    2 +
 tests/Duckling/Time/EN/GB/Tests.hs    |   24 -
 tests/Duckling/Time/EN/Tests.hs       |    8 +-
 tests/Duckling/Time/EN/US/Tests.hs    |   24 -
 16 files changed, 2580 insertions(+), 76 deletions(-)
 create mode 100644 Duckling/Ranking/Classifiers/EN_CA.hs
 create mode 100644 Duckling/Time/EN/CA/Corpus.hs
 create mode 100644 Duckling/Time/EN/CA/Rules.hs
 delete mode 100644 tests/Duckling/Time/EN/GB/Tests.hs
 delete mode 100644 tests/Duckling/Time/EN/US/Tests.hs

diff --git a/Duckling/Locale.hs b/Duckling/Locale.hs
index 65155f8d7..826da7852 100644
--- a/Duckling/Locale.hs
+++ b/Duckling/Locale.hs
@@ -69,7 +69,8 @@ instance TextShow Lang where
 -- | ISO 3166-1 alpha-2 Country code (includes regions and territories).
 -- See https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2
 data Region
-  = CN
+  = CA
+  | CN
   | GB
   | HK
   | MO
@@ -100,6 +101,6 @@ makeLocale lang (Just region)
 
 allLocales :: HashMap Lang (HashSet Region)
 allLocales = HashMap.fromList
-  [ (EN, HashSet.fromList [GB, US])
+  [ (EN, HashSet.fromList [CA, GB, US])
   , (ZH, HashSet.fromList [CN, HK, MO, TW])
   ]
diff --git a/Duckling/Ranking/Classifiers/EN_CA.hs b/Duckling/Ranking/Classifiers/EN_CA.hs
new file mode 100644
index 000000000..5574da61a
--- /dev/null
+++ b/Duckling/Ranking/Classifiers/EN_CA.hs
@@ -0,0 +1,2349 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+-----------------------------------------------------------------
+-- Auto-generated by regenClassifiers
+--
+-- DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
+--  @generated
+-----------------------------------------------------------------
+{-# LANGUAGE OverloadedStrings #-}
+module Duckling.Ranking.Classifiers.EN_CA (classifiers) where
+import Data.String
+import Prelude
+import qualified Data.HashMap.Strict as HashMap
+import Duckling.Ranking.Types
+
+classifiers :: Classifiers
+classifiers
+  = HashMap.fromList
+      [("<integer> to|till|before <hour-of-day>",
+        Classifier{okData =
+                     ClassData{prior = -2.0794415416798357, unseen = -1.791759469228055,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)noon|midnight|EOD|end of day",
+                                     -0.916290731874155),
+                                    ("hour", -0.916290731874155)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -0.13353139262452263,
+                               unseen = -2.890371757896165,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hour", -0.7537718023763802),
+                                    ("integer (numeric)time-of-day (latent)", -0.7537718023763802)],
+                               n = 7}}),
+       ("<time> timezone",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.4849066497880004,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("at <time-of-day>", -1.7047480922384253),
+                                    ("<time-of-day> am|pm", -1.7047480922384253),
+                                    ("hh:mm", -1.7047480922384253), ("hour", -1.2992829841302609),
+                                    ("minute", -1.7047480922384253)],
+                               n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Thursday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.995732273553991,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 18},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("integer (numeric)",
+        Classifier{okData =
+                     ClassData{prior = -0.7740538191727457, unseen = -5.19295685089021,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 178},
+                   koData =
+                     ClassData{prior = -0.6182992897635128,
+                               unseen = -5.3471075307174685,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 208}}),
+       ("<duration> hence|ago",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.784189633918261,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -1.563975538357343), ("day", -1.8152899666382492),
+                                    ("year", -2.662587827025453),
+                                    ("<integer> <unit-of-duration>", -1.0531499145913523),
+                                    ("a <unit-of-duration>", -2.662587827025453),
+                                    ("month", -2.662587827025453),
+                                    ("fortnight", -2.662587827025453)],
+                               n = 18},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.0794415416798357,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("noon|midnight|EOD|end of day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("quarter to|till|before <hour-of-day>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("noon|midnight|EOD|end of day", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Father's Day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<cycle> after|before <time>",
+        Classifier{okData =
+                     ClassData{prior = -0.5596157879354228, unseen = -2.772588722239781,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day (grain)tomorrow", -1.6094379124341003),
+                                    ("dayday", -1.0986122886681098),
+                                    ("day (grain)yesterday", -1.6094379124341003)],
+                               n = 4},
+                   koData =
+                     ClassData{prior = -0.8472978603872037, unseen = -2.639057329615259,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("dayhour", -1.466337068793427),
+                                    ("year (grain)Christmas", -1.8718021769015913),
+                                    ("day (grain)intersect", -1.466337068793427),
+                                    ("yearday", -1.8718021769015913)],
+                               n = 3}}),
+       ("Martin Luther King's Day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 7},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("integer (20..90)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("mm/yyyy",
+        Classifier{okData =
+                     ClassData{prior = -0.6931471805599453,
+                               unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -0.6931471805599453,
+                               unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("integer after|past <hour-of-day>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3025850929940455,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hour", -0.8109302162163288),
+                                    ("integer (numeric)time-of-day (latent)", -1.0986122886681098),
+                                    ("integer (20..90)time-of-day (latent)", -1.5040773967762742)],
+                               n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<day-of-month> (ordinal or number) <named-month>",
+        Classifier{okData =
+                     ClassData{prior = -1.3862943611198906, unseen = -2.890371757896165,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("ordinal (digits)December", -2.1400661634962708),
+                                    ("ordinal (digits)February", -2.1400661634962708),
+                                    ("integer (numeric)April", -2.1400661634962708),
+                                    ("month", -1.4469189829363254)],
+                               n = 3},
+                   koData =
+                     ClassData{prior = -0.2876820724517809,
+                               unseen = -3.4011973816621555,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("ordinal (digits)October", -2.6741486494265287),
+                                    ("ordinal (digits)July", -2.6741486494265287),
+                                    ("integer (numeric)September", -2.268683541318364),
+                                    ("ordinal (digits)August", -2.6741486494265287),
+                                    ("integer (numeric)August", -2.6741486494265287),
+                                    ("ordinal (digits)April", -2.6741486494265287),
+                                    ("month", -1.0647107369924282),
+                                    ("integer (numeric)July", -2.268683541318364)],
+                               n = 9}}),
+       ("<time> <part-of-day>",
+        Classifier{okData =
+                     ClassData{prior = -9.844007281325252e-2,
+                               unseen = -4.430816798843313,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<day-of-month> (ordinal)in|during the <part-of-day>",
+                                     -3.7256934272366524),
+                                    ("dayhour", -1.5284688499004333),
+                                    ("Mondayearly morning", -3.3202283191284883),
+                                    ("time-of-day (latent)tonight", -3.3202283191284883),
+                                    ("hourhour", -2.339399066116762),
+                                    ("<time-of-day> o'clockin|during the <part-of-day>",
+                                     -3.7256934272366524),
+                                    ("todaypart of days", -3.7256934272366524),
+                                    ("minutehour", -2.627081138568543),
+                                    ("at <time-of-day>in|during the <part-of-day>",
+                                     -3.3202283191284883),
+                                    ("time-of-day (latent)this <part-of-day>", -3.7256934272366524),
+                                    ("Mondayin|during the <part-of-day>", -3.7256934272366524),
+                                    ("intersectpart of days", -3.7256934272366524),
+                                    ("intersectin|during the <part-of-day>", -3.7256934272366524),
+                                    ("<day-of-month> (ordinal or number) of <named-month>in|during the <part-of-day>",
+                                     -3.7256934272366524),
+                                    ("the <day-of-month> (ordinal)in|during the <part-of-day>",
+                                     -3.7256934272366524),
+                                    ("tomorrowpart of days", -2.339399066116762),
+                                    ("hh:mmin|during the <part-of-day>", -3.0325462466767075),
+                                    ("time-of-day (latent)in|during the <part-of-day>",
+                                     -3.7256934272366524),
+                                    ("hhmm (latent)in|during the <part-of-day>",
+                                     -3.7256934272366524),
+                                    ("yesterdaypart of days", -3.7256934272366524),
+                                    ("Mondaypart of days", -3.7256934272366524)],
+                               n = 29},
+                   koData =
+                     ClassData{prior = -2.367123614131617, unseen = -3.4657359027997265,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("yearhour", -2.740840023925201),
+                                    ("monthhour", -2.740840023925201),
+                                    ("hourhour", -2.740840023925201),
+                                    ("past year (latent)in|during the <part-of-day>",
+                                     -2.740840023925201),
+                                    ("Februaryin|during the <part-of-day>", -2.740840023925201),
+                                    ("time-of-day (latent)in|during the <part-of-day>",
+                                     -2.740840023925201)],
+                               n = 3}}),
+       ("today",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("mm/dd",
+        Classifier{okData =
+                     ClassData{prior = -1.4271163556401458,
+                               unseen = -2.0794415416798357,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 6},
+                   koData =
+                     ClassData{prior = -0.2744368457017603, unseen = -3.044522437723423,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 19}}),
+       ("at <time-of-day>",
+        Classifier{okData =
+                     ClassData{prior = -0.10536051565782628,
+                               unseen = -4.787491742782046,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("noon|midnight|EOD|end of day", -3.6805112044434196),
+                                    ("integer after|past <hour-of-day>", -3.6805112044434196),
+                                    ("half after|past <hour-of-day>", -4.085976312551584),
+                                    ("time-of-day (latent)", -1.7346010553881064),
+                                    ("hhmm (latent)", -3.392829131991639),
+                                    ("<time-of-day> am|pm", -1.7833912195575383),
+                                    ("hh:mm", -3.169685580677429),
+                                    ("about|exactly <time-of-day>", -3.6805112044434196),
+                                    ("hour", -1.1415373333851437),
+                                    ("<time-of-day> sharp|exactly", -4.085976312551584),
+                                    ("minute", -1.8887517352153647)],
+                               n = 54},
+                   koData =
+                     ClassData{prior = -2.3025850929940455,
+                               unseen = -3.1780538303479458,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("time-of-day (latent)", -1.1895840668738362),
+                                    ("hour", -1.1895840668738362)],
+                               n = 6}}),
+       ("December",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("absorption of , after named day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.332204510175204,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("on <date>", -2.1972245773362196),
+                                    ("Wednesday", -2.6026896854443837),
+                                    ("Saturday", -2.6026896854443837),
+                                    ("Monday", -2.1972245773362196),
+                                    ("Friday", -1.9095425048844386), ("day", -0.8979415932059586),
+                                    ("Sunday", -2.6026896854443837)],
+                               n = 10},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.0794415416798357,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("September",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 6},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("tonight",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("the ides of <named-month>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("March", -0.6931471805599453), ("month", -0.6931471805599453)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("on <date>",
+        Classifier{okData =
+                     ClassData{prior = -0.1670540846631662, unseen = -4.007333185232471,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Thursday", -1.791759469228055), ("mm/dd", -3.295836866004329),
+                                    ("absorption of , after named day", -2.890371757896165),
+                                    ("intersect", -2.890371757896165),
+                                    ("Saturday", -2.6026896854443837),
+                                    ("Friday", -3.295836866004329), ("day", -0.8979415932059586),
+                                    ("the <day-of-month> (ordinal)", -2.890371757896165),
+                                    ("intersect by \",\", \"of\", \"from\", \"'s\"",
+                                     -2.6026896854443837),
+                                    ("hour", -3.295836866004329)],
+                               n = 22},
+                   koData =
+                     ClassData{prior = -1.8718021769015913,
+                               unseen = -2.9444389791664407,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("intersect", -1.791759469228055), ("day", -1.2809338454620642),
+                                    ("intersect by \",\", \"of\", \"from\", \"'s\"",
+                                     -1.791759469228055)],
+                               n = 4}}),
+       ("integer (0..19)",
+        Classifier{okData =
+                     ClassData{prior = -2.409755157906053e-2,
+                               unseen = -3.7612001156935624,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 41},
+                   koData =
+                     ClassData{prior = -3.7376696182833684,
+                               unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("between <time-of-day> and <time-of-day> (interval)",
+        Classifier{okData =
+                     ClassData{prior = -0.6931471805599453,
+                               unseen = -2.3978952727983707,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("minuteminute", -0.916290731874155),
+                                    ("hh:mmhh:mm", -0.916290731874155)],
+                               n = 3},
+                   koData =
+                     ClassData{prior = -0.6931471805599453,
+                               unseen = -2.3978952727983707,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hh:mmtime-of-day (latent)", -0.916290731874155),
+                                    ("minutehour", -0.916290731874155)],
+                               n = 3}}),
+       ("Halloween",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("from <month> dd-dd (interval)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3978952727983707,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Julyinteger (numeric)integer (numeric)", -1.6094379124341003),
+                                    ("Augustordinal (digits)integer (numeric)",
+                                     -1.6094379124341003),
+                                    ("month", -0.916290731874155),
+                                    ("Augustordinal (digits)ordinal (digits)",
+                                     -1.6094379124341003)],
+                               n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("October",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.890371757896165,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 16},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("month (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3978952727983707,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 9},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<integer> more <unit-of-duration>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)minute (grain)", -0.6931471805599453),
+                                    ("minute", -0.6931471805599453)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<time-of-day> o'clock",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("time-of-day (latent)", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("in|within|after <duration>",
+        Classifier{okData =
+                     ClassData{prior = -4.652001563489282e-2,
+                               unseen = -4.61512051684126,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -3.2188758248682006),
+                                    ("<integer> more <unit-of-duration>", -3.912023005428146),
+                                    ("three-quarters of an hour", -2.995732273553991),
+                                    ("<integer> + '\"", -3.2188758248682006),
+                                    ("number.number hours", -3.912023005428146),
+                                    ("second", -3.506557897319982), ("day", -3.2188758248682006),
+                                    ("half an hour", -2.995732273553991),
+                                    ("<integer> <unit-of-duration>", -1.6094379124341003),
+                                    ("a <unit-of-duration>", -2.995732273553991),
+                                    ("quarter of an hour", -2.995732273553991),
+                                    ("hour", -2.5257286443082556),
+                                    ("about|exactly <duration>", -3.912023005428146),
+                                    ("<integer> and an half hour", -3.912023005428146),
+                                    ("minute", -1.2729656758128873)],
+                               n = 42},
+                   koData =
+                     ClassData{prior = -3.0910424533583156, unseen = -3.044522437723423,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("quarter", -1.8971199848858813),
+                                    ("<integer> <unit-of-duration>", -2.3025850929940455),
+                                    ("a <unit-of-duration>", -2.3025850929940455)],
+                               n = 2}}),
+       ("three-quarters of an hour",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Wednesday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3025850929940455,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 8},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("half after|past <hour-of-day>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("time-of-day (latent)", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<integer> + '\"",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("half <integer> (UK style hour-of-day)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("time-of-day (latent)", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("July",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.833213344056216,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 15},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("hour (grain)",
+        Classifier{okData =
+                     ClassData{prior = -0.8209805520698302,
+                               unseen = -2.5649493574615367,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 11},
+                   koData =
+                     ClassData{prior = -0.579818495252942, unseen = -2.772588722239781,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 14}}),
+       ("<ordinal> quarter",
+        Classifier{okData =
+                     ClassData{prior = -0.4700036292457356, unseen = -2.639057329615259,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("ordinal (digits)quarter (grain)", -1.1786549963416462),
+                                    ("ordinals (first..twentieth,thirtieth,...)quarter (grain)",
+                                     -1.466337068793427),
+                                    ("quarter", -0.7731898882334817)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -0.9808292530117262,
+                               unseen = -2.3025850929940455,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("ordinal (digits)quarter (grain)", -0.8109302162163288),
+                                    ("quarter", -0.8109302162163288)],
+                               n = 3}}),
+       ("one twenty two",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)integer (numeric)", -0.3364722366212129),
+                                    ("integer (0..19)integer (20..90)", -1.252762968495368)],
+                               n = 5}}),
+       ("intersect",
+        Classifier{okData =
+                     ClassData{prior = -0.4634795031687923, unseen = -6.169610732491456,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<datetime> - <datetime> (interval)on <date>",
+                                     -4.558078578454241),
+                                    ("<time-of-day> - <time-of-day> (interval)on <date>",
+                                     -4.558078578454241),
+                                    ("hourday", -3.769621218089971),
+                                    ("dayhour", -3.223077511721901),
+                                    ("daymonth", -4.781222129768451),
+                                    ("monthday", -5.0689042022202315),
+                                    ("monthyear", -3.8649313978942956),
+                                    ("Tuesdaythe <day-of-month> (ordinal)", -5.474369310328396),
+                                    ("Christmasyear", -5.474369310328396),
+                                    ("from <datetime> - <datetime> (interval)July",
+                                     -5.474369310328396),
+                                    ("houryear", -5.474369310328396),
+                                    ("this|next <day-of-week>hh(:mm) - <time-of-day> am|pm",
+                                     -5.474369310328396),
+                                    ("<time-of-day> am|pmintersect by \",\", \"of\", \"from\", \"'s\"",
+                                     -4.781222129768451),
+                                    ("<time-of-day> am|pmintersect", -4.221606341833028),
+                                    ("intersect by \",\", \"of\", \"from\", \"'s\"year",
+                                     -5.474369310328396),
+                                    ("Marchyear", -5.474369310328396),
+                                    ("<named-month>|<named-day> <day-of-month> (ordinal)year",
+                                     -5.0689042022202315),
+                                    ("intersect<time-of-day> am|pm", -5.474369310328396),
+                                    ("Thursdayhh(:mm) - <time-of-day> am|pm", -5.474369310328396),
+                                    ("monthhour", -5.0689042022202315),
+                                    ("last <day-of-week> of <time>year", -5.474369310328396),
+                                    ("todayat <time-of-day>", -5.474369310328396),
+                                    ("Thursday<time> timezone", -5.0689042022202315),
+                                    ("this <time>hh(:mm) - <time-of-day> am|pm",
+                                     -5.474369310328396),
+                                    ("dayday", -3.459466289786131),
+                                    ("Thanksgiving Dayyear", -4.375757021660286),
+                                    ("<time> <part-of-day>at <time-of-day>", -5.474369310328396),
+                                    ("Tuesdayin <named-month>", -5.474369310328396),
+                                    ("mm/ddat <time-of-day>", -5.474369310328396),
+                                    ("tonightat <time-of-day>", -5.474369310328396),
+                                    ("<time-of-day> am|pmabsorption of , after named day",
+                                     -4.781222129768451),
+                                    ("today<time-of-day> am|pm", -5.474369310328396),
+                                    ("Februarythe <day-of-month> (ordinal)", -5.0689042022202315),
+                                    ("at <time-of-day><time> <part-of-day>", -5.474369310328396),
+                                    ("mm/dd<time-of-day> am|pm", -5.474369310328396),
+                                    ("hourhour", -4.221606341833028),
+                                    ("<time-of-day> am|pmon <date>", -3.459466289786131),
+                                    ("Wednesdaythis|last|next <cycle>", -5.474369310328396),
+                                    ("intersect<named-month> <day-of-month> (non ordinal)",
+                                     -3.970291913552122),
+                                    ("dayyear", -3.0320222749591914),
+                                    ("last weekend of <named-month>year", -5.474369310328396),
+                                    ("<time-of-day> o'clockin|during the <part-of-day>",
+                                     -5.474369310328396),
+                                    ("<time-of-day> am|pmtomorrow", -4.781222129768451),
+                                    ("minutehour", -4.558078578454241),
+                                    ("Mother's Dayyear", -5.474369310328396),
+                                    ("at <time-of-day>in|during the <part-of-day>",
+                                     -5.0689042022202315),
+                                    ("absorption of , after named day<named-month> <day-of-month> (non ordinal)",
+                                     -3.769621218089971),
+                                    ("for <duration> from <time>December", -5.474369310328396),
+                                    ("tomorrow<time-of-day> sharp|exactly", -5.474369310328396),
+                                    ("Thursdayfrom <datetime> - <datetime> (interval)",
+                                     -4.558078578454241),
+                                    ("on <date><named-month> <day-of-month> (non ordinal)",
+                                     -5.0689042022202315),
+                                    ("Thursdayfrom <time-of-day> - <time-of-day> (interval)",
+                                     -4.558078578454241),
+                                    ("Mondayin|during the <part-of-day>", -5.474369310328396),
+                                    ("tomorrowfrom <time-of-day> - <time-of-day> (interval)",
+                                     -5.0689042022202315),
+                                    ("intersectin|during the <part-of-day>", -5.474369310328396),
+                                    ("<day-of-month> (ordinal or number) of <named-month>in|during the <part-of-day>",
+                                     -5.474369310328396),
+                                    ("from <time-of-day> - <time-of-day> (interval)on <date>",
+                                     -4.781222129768451),
+                                    ("intersect by \",\", \"of\", \"from\", \"'s\"<time-of-day> am|pm",
+                                     -4.558078578454241),
+                                    ("at <time-of-day>intersect", -5.0689042022202315),
+                                    ("<time-of-day> - <time-of-day> (interval)tomorrow",
+                                     -5.474369310328396),
+                                    ("at <time-of-day>intersect by \",\", \"of\", \"from\", \"'s\"",
+                                     -5.474369310328396),
+                                    ("dayminute", -3.1717842173343502),
+                                    ("from <datetime> - <datetime> (interval)on <date>",
+                                     -5.0689042022202315),
+                                    ("<datetime> - <datetime> (interval)tomorrow",
+                                     -5.474369310328396),
+                                    ("absorption of , after named dayintersect by \",\", \"of\", \"from\", \"'s\"",
+                                     -5.0689042022202315),
+                                    ("<ordinal> <cycle> of <time>year", -5.474369310328396),
+                                    ("minuteday", -2.0731719286662407),
+                                    ("absorption of , after named dayintersect",
+                                     -5.474369310328396),
+                                    ("Octoberyear", -4.221606341833028),
+                                    ("the <day-of-month> (ordinal)in|during the <part-of-day>",
+                                     -5.474369310328396),
+                                    ("at <time-of-day>absorption of , after named day",
+                                     -5.474369310328396),
+                                    ("<day-of-month> (ordinal or number) <named-month>year",
+                                     -5.474369310328396),
+                                    ("year<time-of-day> am|pm", -5.474369310328396),
+                                    ("Septemberyear", -5.0689042022202315),
+                                    ("at <time-of-day>on <date>", -4.375757021660286),
+                                    ("between <time-of-day> and <time-of-day> (interval)on <date>",
+                                     -4.781222129768451),
+                                    ("Halloweenyear", -5.474369310328396),
+                                    ("dayweek", -5.474369310328396),
+                                    ("weekyear", -5.0689042022202315),
+                                    ("hh:mmin|during the <part-of-day>", -4.781222129768451),
+                                    ("Father's Dayyear", -5.474369310328396),
+                                    ("<cycle> after|before <time><time-of-day> am|pm",
+                                     -5.0689042022202315),
+                                    ("February<time> <part-of-day>", -5.474369310328396),
+                                    ("Martin Luther King's Dayyear", -5.0689042022202315),
+                                    ("tomorrowat <time-of-day>", -4.781222129768451),
+                                    ("between <time> and <time>on <date>", -4.781222129768451),
+                                    ("at <time-of-day>tomorrow", -5.0689042022202315),
+                                    ("tomorrow<time-of-day> am|pm", -5.474369310328396),
+                                    ("in|during the <part-of-day>at <time-of-day>",
+                                     -5.474369310328396),
+                                    ("black fridayyear", -5.0689042022202315),
+                                    ("Labor Dayyear", -5.474369310328396),
+                                    ("Februaryintersect", -5.474369310328396),
+                                    ("last <cycle> of <time>year", -4.781222129768451),
+                                    ("<named-month> <day-of-month> (non ordinal)year",
+                                     -5.474369310328396),
+                                    ("yearminute", -5.474369310328396)],
+                               n = 173},
+                   koData =
+                     ClassData{prior = -0.9917982843823002, unseen = -5.817111159963204,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("in <named-month>year", -5.120983351265121),
+                                    ("<time-of-day> - <time-of-day> (interval)on <date>",
+                                     -5.120983351265121),
+                                    ("hourday", -5.120983351265121),
+                                    ("<named-month> <day-of-month> (non ordinal)July",
+                                     -5.120983351265121),
+                                    ("dayhour", -3.329223882037066),
+                                    ("daymonth", -3.041541809585285),
+                                    ("monthday", -4.715518243156957),
+                                    ("monthyear", -4.427836170705175),
+                                    ("intersecthh:mm", -5.120983351265121),
+                                    ("from <datetime> - <datetime> (interval)July",
+                                     -5.120983351265121),
+                                    ("houryear", -5.120983351265121),
+                                    ("from <time-of-day> - <time-of-day> (interval)July",
+                                     -5.120983351265121),
+                                    ("until <time-of-day><time-of-day> am|pm", -5.120983351265121),
+                                    ("<time-of-day> am|pmintersect by \",\", \"of\", \"from\", \"'s\"",
+                                     -4.427836170705175),
+                                    ("<time-of-day> am|pmintersect", -3.868220382769753),
+                                    ("intersect by \",\", \"of\", \"from\", \"'s\"year",
+                                     -4.204692619390966),
+                                    ("Tuesdayafter <time-of-day>", -5.120983351265121),
+                                    ("July<day-of-month> (ordinal or number) <named-month>",
+                                     -5.120983351265121),
+                                    ("absorption of , after named dayJuly", -4.715518243156957),
+                                    ("monthhour", -5.120983351265121),
+                                    ("hourmonth", -4.427836170705175),
+                                    ("todayat <time-of-day>", -5.120983351265121),
+                                    ("dayday", -4.715518243156957),
+                                    ("mm/ddat <time-of-day>", -4.715518243156957),
+                                    ("<time-of-day> am|pmon <date>", -3.868220382769753),
+                                    ("dayyear", -3.868220382769753),
+                                    ("Thursdaymm/dd", -5.120983351265121),
+                                    ("Thursdayat <time-of-day>", -5.120983351265121),
+                                    ("<integer> to|till|before <hour-of-day>September",
+                                     -5.120983351265121),
+                                    ("monthminute", -5.120983351265121),
+                                    ("<time-of-day> am|pmtomorrow", -5.120983351265121),
+                                    ("Thursdayhh:mm", -5.120983351265121),
+                                    ("August<day-of-month> (ordinal or number) <named-month>",
+                                     -5.120983351265121),
+                                    ("Fridayyear", -4.715518243156957),
+                                    ("minutemonth", -3.416235259026696),
+                                    ("Thursdayfrom <datetime> - <datetime> (interval)",
+                                     -4.715518243156957),
+                                    ("Thursdayfrom <time-of-day> - <time-of-day> (interval)",
+                                     -4.715518243156957),
+                                    ("Aprilyear", -5.120983351265121),
+                                    ("mm/dd<time-of-day> - <time-of-day> (interval)",
+                                     -4.715518243156957),
+                                    ("tomorrowfrom <time-of-day> - <time-of-day> (interval)",
+                                     -5.120983351265121),
+                                    ("<duration> after|before|from <time>December",
+                                     -5.120983351265121),
+                                    ("yesterday<time-of-day> am|pm", -5.120983351265121),
+                                    ("intersect by \",\", \"of\", \"from\", \"'s\"hh:mm",
+                                     -4.204692619390966),
+                                    ("<named-month> <day-of-month> (non ordinal)August",
+                                     -5.120983351265121),
+                                    ("until <time-of-day>on <date>", -4.427836170705175),
+                                    ("at <time-of-day>intersect", -4.715518243156957),
+                                    ("at <time-of-day>intersect by \",\", \"of\", \"from\", \"'s\"",
+                                     -5.120983351265121),
+                                    ("dayminute", -3.175073202209808),
+                                    ("intersectSeptember", -3.616905954488847),
+                                    ("absorption of , after named dayintersect by \",\", \"of\", \"from\", \"'s\"",
+                                     -5.120983351265121),
+                                    ("minuteday", -2.317622970358586),
+                                    ("absorption of , after named dayintersect",
+                                     -5.120983351265121),
+                                    ("Februaryin|during the <part-of-day>", -5.120983351265121),
+                                    ("week-endin <named-month>", -5.120983351265121),
+                                    ("Octoberyear", -5.120983351265121),
+                                    ("yearhh:mm", -5.120983351265121),
+                                    ("hh:mmon <date>", -3.616905954488847),
+                                    ("absorption of , after named daySeptember",
+                                     -4.204692619390966),
+                                    ("on <date>September", -4.715518243156957),
+                                    ("at <time-of-day>on <date>", -4.715518243156957),
+                                    ("absorption of , after named dayFebruary", -4.204692619390966),
+                                    ("July<integer> to|till|before <hour-of-day>",
+                                     -5.120983351265121),
+                                    ("tomorrowat <time-of-day>", -5.120983351265121),
+                                    ("<integer> to|till|before <hour-of-day>July",
+                                     -5.120983351265121),
+                                    ("tomorrow<time-of-day> am|pm", -5.120983351265121),
+                                    ("after <time-of-day><time-of-day> am|pm", -5.120983351265121),
+                                    ("after <time-of-day>year", -5.120983351265121),
+                                    ("yearminute", -5.120983351265121)],
+                               n = 102}}),
+       ("after lunch/work/school",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("early morning",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("in <number> (implicit minutes)",
+        Classifier{okData =
+                     ClassData{prior = -1.041453874828161, unseen = -2.70805020110221,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -0.5596157879354228),
+                                    ("integer (0..19)", -0.8472978603872037)],
+                               n = 12},
+                   koData =
+                     ClassData{prior = -0.4353180712578455,
+                               unseen = -3.2188758248682006,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -0.3448404862917295),
+                                    ("integer (0..19)", -1.2321436812926323)],
+                               n = 22}}),
+       ("<ordinal> <cycle> of <time>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.772588722239781,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("daymonth", -2.0149030205422647),
+                                    ("quarteryear", -2.0149030205422647),
+                                    ("ordinals (first..twentieth,thirtieth,...)day (grain)October",
+                                     -2.0149030205422647),
+                                    ("ordinals (first..twentieth,thirtieth,...)week (grain)intersect",
+                                     -2.0149030205422647),
+                                    ("weekmonth", -1.6094379124341003),
+                                    ("ordinal (digits)quarter (grain)year", -2.0149030205422647),
+                                    ("ordinals (first..twentieth,thirtieth,...)week (grain)October",
+                                     -2.0149030205422647)],
+                               n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.0794415416798357,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("year (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.1354942159291497,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 21},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("from <datetime> - <datetime> (interval)",
+        Classifier{okData =
+                     ClassData{prior = -1.0116009116784799,
+                               unseen = -3.6375861597263857,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("minuteminute", -2.001480000210124),
+                                    ("<day-of-month> (ordinal)<day-of-month> (ordinal)",
+                                     -2.917770732084279),
+                                    ("hh:mmhh:mm", -2.001480000210124),
+                                    ("dayday", -2.512305623976115),
+                                    ("<named-month>|<named-day> <day-of-month> (ordinal)<day-of-month> (ordinal)",
+                                     -2.917770732084279),
+                                    ("<time-of-day> am|pmtime-of-day (latent)", -2.917770732084279),
+                                    ("hourhour", -2.512305623976115),
+                                    ("<time-of-day> am|pm<time-of-day> am|pm", -2.917770732084279)],
+                               n = 8},
+                   koData =
+                     ClassData{prior = -0.45198512374305727,
+                               unseen = -3.912023005428146,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hourday", -3.1986731175506815),
+                                    ("dayhour", -2.793208009442517),
+                                    ("<day-of-month> (ordinal)time-of-day (latent)",
+                                     -3.1986731175506815),
+                                    ("hh:mmtime-of-day (latent)", -2.2823823856765264),
+                                    ("minuteminute", -2.793208009442517),
+                                    ("time-of-day (latent)time-of-day (latent)",
+                                     -2.793208009442517),
+                                    ("dayday", -3.1986731175506815),
+                                    ("hourhour", -2.505525936990736),
+                                    ("dayyear", -3.1986731175506815),
+                                    ("<named-month>|<named-day> <day-of-month> (ordinal)past year (latent)",
+                                     -3.1986731175506815),
+                                    ("minutehour", -2.2823823856765264),
+                                    ("hh:mmintersect", -2.793208009442517),
+                                    ("<day-of-month> (ordinal)<day-of-month> (ordinal or number) <named-month>",
+                                     -3.1986731175506815),
+                                    ("time-of-day (latent)<time-of-day> am|pm",
+                                     -3.1986731175506815),
+                                    ("time-of-day (latent)<day-of-month> (ordinal or number) <named-month>",
+                                     -3.1986731175506815),
+                                    ("<named-month> <day-of-month> (non ordinal)time-of-day (latent)",
+                                     -3.1986731175506815)],
+                               n = 14}}),
+       ("Saturday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 6},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("the <cycle> of <time>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.890371757896165,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week (grain)<named-month>|<named-day> <day-of-month> (ordinal)",
+                                     -1.7346010553881064),
+                                    ("weekmonth", -1.7346010553881064),
+                                    ("week (grain)October", -1.7346010553881064),
+                                    ("week (grain)<named-month> <day-of-month> (non ordinal)",
+                                     -1.7346010553881064),
+                                    ("weekday", -1.2237754316221157)],
+                               n = 6},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("number.number hours",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("from <time-of-day> - <time-of-day> (interval)",
+        Classifier{okData =
+                     ClassData{prior = -0.6931471805599453,
+                               unseen = -3.4339872044851463,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("minuteminute", -1.6094379124341003),
+                                    ("hh:mmhh:mm", -1.6094379124341003),
+                                    ("<time-of-day> am|pmtime-of-day (latent)", -2.70805020110221),
+                                    ("hourhour", -2.3025850929940455),
+                                    ("hourminute", -2.3025850929940455),
+                                    ("time-of-day (latent)<time-of-day> sharp|exactly",
+                                     -2.70805020110221),
+                                    ("time-of-day (latent)hh:mm", -2.70805020110221),
+                                    ("<time-of-day> am|pm<time-of-day> am|pm", -2.70805020110221)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -0.6931471805599453,
+                               unseen = -3.4339872044851463,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hh:mmtime-of-day (latent)", -1.6094379124341003),
+                                    ("time-of-day (latent)time-of-day (latent)",
+                                     -2.0149030205422647),
+                                    ("hourhour", -1.791759469228055),
+                                    ("minutehour", -1.6094379124341003),
+                                    ("time-of-day (latent)<time-of-day> am|pm", -2.70805020110221)],
+                               n = 9}}),
+       ("integer 21..99",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods =
+                                 HashMap.fromList [("integer (numeric)integer (numeric)", 0.0)],
+                               n = 2}}),
+       ("last|next n <cycle>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -4.430816798843313,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.627081138568543),
+                                    ("integer (0..19)year (grain)", -3.3202283191284883),
+                                    ("integer (numeric)day (grain)", -3.0325462466767075),
+                                    ("integer (0..19)second (grain) ", -3.3202283191284883),
+                                    ("integer (0..19)hour (grain)", -3.3202283191284883),
+                                    ("second", -2.8094026953624978),
+                                    ("integer (numeric)second (grain) ", -3.3202283191284883),
+                                    ("integer (numeric)year (grain)", -3.3202283191284883),
+                                    ("day", -2.472930458741285), ("year", -2.8094026953624978),
+                                    ("integer (numeric)week (grain)", -3.0325462466767075),
+                                    ("integer (0..19)month (grain)", -3.3202283191284883),
+                                    ("hour", -2.8094026953624978), ("month", -2.8094026953624978),
+                                    ("integer (numeric)minute (grain)", -3.3202283191284883),
+                                    ("integer (0..19)minute (grain)", -3.3202283191284883),
+                                    ("integer (numeric)month (grain)", -3.3202283191284883),
+                                    ("minute", -2.8094026953624978),
+                                    ("integer (numeric)hour (grain)", -3.3202283191284883),
+                                    ("integer (0..19)day (grain)", -3.0325462466767075),
+                                    ("integer (0..19)week (grain)", -3.3202283191284883)],
+                               n = 31},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -3.0910424533583156,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("yyyy-mm-dd",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("mm/dd/yyyy",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Memorial Day",
+        Classifier{okData =
+                     ClassData{prior = -0.2231435513142097, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -1.6094379124341003,
+                               unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("Monday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.639057329615259,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 12},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("yesterday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<ordinal> quarter <year>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("quarteryear", -0.6931471805599453),
+                                    ("ordinal (digits)quarter (grain)year", -0.6931471805599453)],
+                               n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("hh:mm:ss",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<hour-of-day> <integer>",
+        Classifier{okData =
+                     ClassData{prior = -0.40546510810816444,
+                               unseen = -2.1972245773362196,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("at <time-of-day>integer (20..90)", -1.3862943611198906),
+                                    ("hour", -0.9808292530117262),
+                                    ("at <time-of-day>integer (numeric)", -1.3862943611198906)],
+                               n = 2},
+                   koData =
+                     ClassData{prior = -1.0986122886681098,
+                               unseen = -1.9459101490553135,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("about|exactly <time-of-day>integer (numeric)",
+                                     -1.0986122886681098),
+                                    ("hour", -1.0986122886681098)],
+                               n = 1}}),
+       ("nth <time> of <time>",
+        Classifier{okData =
+                     ClassData{prior = -0.4700036292457356, unseen = -2.833213344056216,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("daymonth", -0.9808292530117262),
+                                    ("ordinals (first..twentieth,thirtieth,...)Tuesdayintersect",
+                                     -2.0794415416798357),
+                                    ("ordinals (first..twentieth,thirtieth,...)Wednesdayintersect",
+                                     -1.6739764335716716),
+                                    ("ordinals (first..twentieth,thirtieth,...)TuesdayOctober",
+                                     -1.6739764335716716)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -0.9808292530117262,
+                               unseen = -2.5649493574615367,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("daymonth", -1.0986122886681098),
+                                    ("ordinals (first..twentieth,thirtieth,...)TuesdaySeptember",
+                                     -1.791759469228055),
+                                    ("ordinals (first..twentieth,thirtieth,...)WednesdayOctober",
+                                     -1.3862943611198906)],
+                               n = 3}}),
+       ("Valentine's Day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("April",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("end of month",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("week (grain)",
+        Classifier{okData =
+                     ClassData{prior = -8.004270767353637e-2,
+                               unseen = -3.6375861597263857,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 36},
+                   koData =
+                     ClassData{prior = -2.5649493574615367,
+                               unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
+       ("<part-of-day> of <time>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3978952727983707,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("part of daysintersect by \",\", \"of\", \"from\", \"'s\"",
+                                     -1.6094379124341003),
+                                    ("hourday", -0.916290731874155),
+                                    ("part of daysthe <day-of-month> (ordinal)",
+                                     -1.6094379124341003),
+                                    ("part of daysthe <day-of-month> (number)",
+                                     -1.6094379124341003)],
+                               n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("past year (latent)",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 2}}),
+       ("now",
+        Classifier{okData =
+                     ClassData{prior = -0.15415067982725836,
+                               unseen = -2.0794415416798357,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 6},
+                   koData =
+                     ClassData{prior = -1.9459101490553135,
+                               unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("<day-of-month> (ordinal or number) of <named-month>",
+        Classifier{okData =
+                     ClassData{prior = -0.13353139262452263,
+                               unseen = -3.0910424533583156,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("ordinal (digits)July", -2.3513752571634776),
+                                    ("ordinals (first..twentieth,thirtieth,...)March",
+                                     -2.3513752571634776),
+                                    ("ordinal (digits)February", -2.3513752571634776),
+                                    ("integer (numeric)February", -1.9459101490553135),
+                                    ("month", -0.9650808960435872),
+                                    ("ordinal (digits)March", -2.3513752571634776),
+                                    ("integer (numeric)July", -2.3513752571634776)],
+                               n = 7},
+                   koData =
+                     ClassData{prior = -2.0794415416798357,
+                               unseen = -2.3025850929940455,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("ordinal (digits)February", -1.5040773967762742),
+                                    ("month", -1.5040773967762742)],
+                               n = 1}}),
+       ("this <part-of-day>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hour", -0.6931471805599453),
+                                    ("part of days", -0.6931471805599453)],
+                               n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Friday",
+        Classifier{okData =
+                     ClassData{prior = -0.3677247801253174,
+                               unseen = -2.3978952727983707,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 9},
+                   koData =
+                     ClassData{prior = -1.1786549963416462, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
+       ("in|during the <part-of-day>",
+        Classifier{okData =
+                     ClassData{prior = -8.701137698962981e-2,
+                               unseen = -3.258096538021482,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("early morning", -2.5257286443082556),
+                                    ("hour", -0.7339691750802004),
+                                    ("part of days", -0.8209805520698302)],
+                               n = 11},
+                   koData =
+                     ClassData{prior = -2.4849066497880004, unseen = -1.791759469228055,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hour", -0.916290731874155),
+                                    ("part of days", -0.916290731874155)],
+                               n = 1}}),
+       ("tomorrow",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.9444389791664407,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 17},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("hh(:mm) - <time-of-day> am|pm",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.70805020110221,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("time-of-day (latent)", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 6},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("this|last|next <cycle>",
+        Classifier{okData =
+                     ClassData{prior = -0.15822400521489416,
+                               unseen = -4.394449154672439,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -1.5488132906176655),
+                                    ("month (grain)", -2.995732273553991),
+                                    ("year (grain)", -1.817077277212345),
+                                    ("week (grain)", -1.5488132906176655),
+                                    ("quarter", -2.772588722239781), ("year", -1.817077277212345),
+                                    ("month", -2.995732273553991),
+                                    ("quarter (grain)", -2.772588722239781)],
+                               n = 35},
+                   koData =
+                     ClassData{prior = -1.9218125974762528,
+                               unseen = -3.1354942159291497,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -1.4816045409242156),
+                                    ("week (grain)", -1.4816045409242156),
+                                    ("day", -1.9924301646902063),
+                                    ("day (grain)", -1.9924301646902063)],
+                               n = 6}}),
+       ("Mother's Day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("New Year's Eve",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("the <ordinal> <cycle> of <time>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("quarteryear", -0.6931471805599453),
+                                    ("ordinal (digits)quarter (grain)year", -0.6931471805599453)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("by <time>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.9444389791664407,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("noon|midnight|EOD|end of day", -2.1972245773362196),
+                                    ("end of month", -2.1972245773362196),
+                                    ("time-of-day (latent)", -2.1972245773362196),
+                                    ("<time-of-day> am|pm", -2.1972245773362196),
+                                    ("hh:mm", -2.1972245773362196), ("hour", -1.791759469228055),
+                                    ("month", -2.1972245773362196), ("minute", -1.791759469228055)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("half an hour",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("the <day-of-month> (ordinal)",
+        Classifier{okData =
+                     ClassData{prior = -0.2006706954621511,
+                               unseen = -2.4849066497880004,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("ordinals (first..twentieth,thirtieth,...)",
+                                     -1.7047480922384253),
+                                    ("ordinal (digits)", -0.2006706954621511)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -1.7047480922384253,
+                               unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList [("ordinal (digits)", -0.2876820724517809)],
+                               n = 2}}),
+       ("last weekend of <named-month>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.639057329615259,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("October", -0.9555114450274363), ("July", -1.8718021769015913),
+                                    ("month", -0.7731898882334817)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("the <day-of-month> (number)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("fractional number",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -2.9444389791664407,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 17}}),
+       ("Sunday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3025850929940455,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 8},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("February",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.70805020110221,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 13},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("minute (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.833213344056216,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 15},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("the <ordinal> quarter",
+        Classifier{okData =
+                     ClassData{prior = -0.6931471805599453,
+                               unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("ordinal (digits)quarter (grain)", -0.6931471805599453),
+                                    ("quarter", -0.6931471805599453)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -0.6931471805599453,
+                               unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("ordinal (digits)quarter (grain)", -0.6931471805599453),
+                                    ("quarter", -0.6931471805599453)],
+                               n = 1}}),
+       ("time-of-day (latent)",
+        Classifier{okData =
+                     ClassData{prior = -0.5363047090669756, unseen = -4.174387269895637,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)", -0.1158318155251217),
+                                    ("integer (0..19)", -2.2129729343043585)],
+                               n = 62},
+                   koData =
+                     ClassData{prior = -0.8792494601938059,
+                               unseen = -3.8501476017100584,
+                               likelihoods =
+                                 HashMap.fromList [("integer (numeric)", -2.197890671877523e-2)],
+                               n = 44}}),
+       ("year",
+        Classifier{okData =
+                     ClassData{prior = -0.2113090936672069, unseen = -3.58351893845611,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 34},
+                   koData =
+                     ClassData{prior = -1.6582280766035324,
+                               unseen = -2.3025850929940455,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 8}}),
+       ("last <day-of-week> of <time>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.3978952727983707,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("daymonth", -0.916290731874155),
+                                    ("SundayMarch", -1.6094379124341003),
+                                    ("MondayMarch", -1.6094379124341003),
+                                    ("Sundayintersect", -1.6094379124341003)],
+                               n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<integer> <unit-of-duration>",
+        Classifier{okData =
+                     ClassData{prior = -0.7444404749474959, unseen = -4.605170185988091,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.3978952727983707),
+                                    ("integer (0..19)year (grain)", -3.2088254890146994),
+                                    ("integer (numeric)day (grain)", -2.515678308454754),
+                                    ("integer (0..19)second (grain) ", -3.9019726695746444),
+                                    ("integer (0..19)hour (grain)", -2.803360380906535),
+                                    ("second", -3.9019726695746444),
+                                    ("integer (numeric)year (grain)", -3.9019726695746444),
+                                    ("day", -2.515678308454754), ("year", -2.9856819377004897),
+                                    ("integer (numeric)week (grain)", -2.9856819377004897),
+                                    ("integer (0..19)month (grain)", -3.4965075614664802),
+                                    ("hour", -2.515678308454754), ("month", -3.4965075614664802),
+                                    ("integer (numeric)minute (grain)", -2.9856819377004897),
+                                    ("integer (0..19)minute (grain)", -2.803360380906535),
+                                    ("minute", -2.2925347571405443),
+                                    ("integer (numeric)hour (grain)", -3.4965075614664802),
+                                    ("integer (0..19)week (grain)", -2.9856819377004897)],
+                               n = 38},
+                   koData =
+                     ClassData{prior = -0.6443570163905132, unseen = -4.68213122712422,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.8810693652338513),
+                                    ("integer (0..19)year (grain)", -3.5742165457937967),
+                                    ("integer (numeric)day (grain)", -3.2865344733420154),
+                                    ("integer (0..19)second (grain) ", -3.5742165457937967),
+                                    ("integer (0..19)hour (grain)", -3.5742165457937967),
+                                    ("second", -3.0633909220278057),
+                                    ("integer (numeric)second (grain) ", -3.5742165457937967),
+                                    ("integer (numeric)year (grain)", -3.5742165457937967),
+                                    ("day", -2.7269186854065928), ("quarter", -3.979681653901961),
+                                    ("year", -3.0633909220278057),
+                                    ("integer (numeric)week (grain)", -3.2865344733420154),
+                                    ("integer (0..19)month (grain)", -3.5742165457937967),
+                                    ("hour", -1.9647786333596962), ("month", -3.0633909220278057),
+                                    ("integer (numeric)minute (grain)", -3.5742165457937967),
+                                    ("integer (0..19)minute (grain)", -3.5742165457937967),
+                                    ("integer (numeric)month (grain)", -3.5742165457937967),
+                                    ("minute", -3.0633909220278057),
+                                    ("integer (numeric)hour (grain)", -2.1078794770003695),
+                                    ("integer (0..19)day (grain)", -3.2865344733420154),
+                                    ("integer (0..19)week (grain)", -3.5742165457937967),
+                                    ("integer (0..19)quarter (grain)", -3.979681653901961)],
+                               n = 42}}),
+       ("hhmm (latent)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 6},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<time-of-day> am|pm",
+        Classifier{okData =
+                     ClassData{prior = -0.2847365622220242, unseen = -5.231108616854587,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer after|past <hour-of-day>", -3.8394523125933104),
+                                    ("at <time-of-day>", -2.2300144001592104),
+                                    ("<time-of-day> o'clock", -4.127134385045092),
+                                    ("half after|past <hour-of-day>", -4.127134385045092),
+                                    ("time-of-day (latent)", -1.7600107709134747),
+                                    ("hhmm (latent)", -4.532599493153256),
+                                    ("hh:mm", -2.181224235989778),
+                                    ("quarter after|past <hour-of-day>", -4.532599493153256),
+                                    ("about|exactly <time-of-day>", -4.532599493153256),
+                                    ("until <time-of-day>", -3.8394523125933104),
+                                    ("hour", -1.2939210409888755),
+                                    ("<time-of-day> sharp|exactly", -4.532599493153256),
+                                    ("minute", -1.6422277352570913),
+                                    ("after <time-of-day>", -4.532599493153256)],
+                               n = 85},
+                   koData =
+                     ClassData{prior = -1.3951833085371366, unseen = -4.290459441148391,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> to|till|before <hour-of-day>", -3.1780538303479458),
+                                    ("<hour-of-day> <integer>", -3.58351893845611),
+                                    ("time-of-day (latent)", -1.0577902941478545),
+                                    ("hour", -1.0185695809945732), ("minute", -2.890371757896165),
+                                    ("after <time-of-day>", -3.58351893845611)],
+                               n = 28}}),
+       ("from <day-of-month> (ordinal or number) to <day-of-month> (ordinal or number) <named-month> (interval)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("ordinal (digits)ordinal (digits)July", -1.252762968495368),
+                                    ("integer (numeric)integer (numeric)July", -1.252762968495368),
+                                    ("month", -0.8472978603872037)],
+                               n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Thanksgiving Day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.5649493574615367,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 11},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("part of <named-month>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.1972245773362196,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("March", -0.6931471805599453), ("month", -0.6931471805599453)],
+                               n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("a <unit-of-duration>",
+        Classifier{okData =
+                     ClassData{prior = -0.5753641449035618,
+                               unseen = -3.4965075614664802,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.0794415416798357),
+                                    ("year (grain)", -2.772588722239781),
+                                    ("second", -2.772588722239781),
+                                    ("week (grain)", -2.0794415416798357),
+                                    ("day", -2.0794415416798357),
+                                    ("minute (grain)", -2.772588722239781),
+                                    ("year", -2.772588722239781),
+                                    ("second (grain) ", -2.772588722239781),
+                                    ("minute", -2.772588722239781),
+                                    ("day (grain)", -2.0794415416798357)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -0.8266785731844679, unseen = -3.367295829986474,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hour (grain)", -1.7227665977411035),
+                                    ("quarter", -1.9459101490553135), ("hour", -1.7227665977411035),
+                                    ("quarter (grain)", -1.9459101490553135)],
+                               n = 7}}),
+       ("hh:mm",
+        Classifier{okData =
+                     ClassData{prior = -5.406722127027582e-2,
+                               unseen = -4.02535169073515,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 54},
+                   koData =
+                     ClassData{prior = -2.9444389791664407,
+                               unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3}}),
+       ("quarter of an hour",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("second (grain) ",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 6},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("ordinals (first..twentieth,thirtieth,...)",
+        Classifier{okData =
+                     ClassData{prior = -6.899287148695143e-2,
+                               unseen = -2.772588722239781,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 14},
+                   koData =
+                     ClassData{prior = -2.70805020110221, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("quarter after|past <hour-of-day>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("time-of-day (latent)", -0.6931471805599453),
+                                    ("hour", -0.6931471805599453)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("the <cycle> after|before <time>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day (grain)tomorrow", -1.252762968495368),
+                                    ("dayday", -0.8472978603872037),
+                                    ("day (grain)yesterday", -1.252762968495368)],
+                               n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("about|exactly <time-of-day>",
+        Classifier{okData =
+                     ClassData{prior = -0.2231435513142097, unseen = -3.367295829986474,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week", -2.639057329615259),
+                                    ("hh(:mm) - <time-of-day> am|pm", -2.639057329615259),
+                                    ("this|last|next <cycle>", -2.639057329615259),
+                                    ("day", -2.2335922215070942),
+                                    ("time-of-day (latent)", -2.639057329615259),
+                                    ("hhmm (latent)", -2.2335922215070942),
+                                    ("<time-of-day> am|pm", -2.639057329615259),
+                                    ("hour", -1.9459101490553135),
+                                    ("next <time>", -2.639057329615259),
+                                    ("this|next <day-of-week>", -2.639057329615259),
+                                    ("minute", -2.2335922215070942)],
+                               n = 8},
+                   koData =
+                     ClassData{prior = -1.6094379124341003, unseen = -2.833213344056216,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("mm/dd", -2.0794415416798357), ("day", -2.0794415416798357),
+                                    ("time-of-day (latent)", -2.0794415416798357),
+                                    ("hour", -2.0794415416798357)],
+                               n = 2}}),
+       ("intersect by \",\", \"of\", \"from\", \"'s\"",
+        Classifier{okData =
+                     ClassData{prior = -0.48130318449966897,
+                               unseen = -5.170483995038151,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday<named-month> <day-of-month> (non ordinal)",
+                                     -4.471638793363569),
+                                    ("dayhour", -3.2188758248682006),
+                                    ("daymonth", -3.2188758248682006),
+                                    ("<named-month> <day-of-month> (non ordinal)Friday",
+                                     -4.471638793363569),
+                                    ("Friday<named-month> <day-of-month> (non ordinal)",
+                                     -3.7784916128036232),
+                                    ("Wednesdayintersect", -4.471638793363569),
+                                    ("Labor Daythis|last|next <cycle>", -4.471638793363569),
+                                    ("black fridaythis|last|next <cycle>", -4.471638793363569),
+                                    ("intersect by \",\", \"of\", \"from\", \"'s\"year",
+                                     -4.471638793363569),
+                                    ("<part-of-day> of <time>February", -4.471638793363569),
+                                    ("Saturday<time-of-day> am|pm", -4.471638793363569),
+                                    ("Martin Luther King's Daythis|last|next <cycle>",
+                                     -4.471638793363569),
+                                    ("on <date><time-of-day> am|pm", -4.471638793363569),
+                                    ("hourmonth", -4.471638793363569),
+                                    ("intersect by \",\", \"of\", \"from\", \"'s\"intersect",
+                                     -4.471638793363569),
+                                    ("dayday", -2.5998366164619773),
+                                    ("the <day-of-month> (ordinal)February", -4.0661736852554045),
+                                    ("WednesdayOctober", -4.471638793363569),
+                                    ("Wednesdaythis|last|next <cycle>", -4.0661736852554045),
+                                    ("intersect<named-month> <day-of-month> (non ordinal)",
+                                     -3.5553480614894135),
+                                    ("dayyear", -2.8622008809294686),
+                                    ("Saturday<named-month> <day-of-month> (non ordinal)",
+                                     -4.471638793363569),
+                                    ("<named-month> <day-of-month> (non ordinal)intersect",
+                                     -4.471638793363569),
+                                    ("Thursdayhh:mm", -4.0661736852554045),
+                                    ("Thanksgiving Daythis|last|next <cycle>", -4.471638793363569),
+                                    ("Memorial Daythis|last|next <cycle>", -4.471638793363569),
+                                    ("on <date><named-month> <day-of-month> (non ordinal)",
+                                     -4.0661736852554045),
+                                    ("TuesdayOctober", -4.471638793363569),
+                                    ("the <day-of-month> (ordinal)March", -4.471638793363569),
+                                    ("Mondaythis|last|next <cycle>", -4.471638793363569),
+                                    ("Fridayintersect by \",\", \"of\", \"from\", \"'s\"",
+                                     -4.0661736852554045),
+                                    ("Fridayintersect", -4.471638793363569),
+                                    ("Thursday<datetime> - <datetime> (interval)",
+                                     -3.7784916128036232),
+                                    ("Thursday<time-of-day> - <time-of-day> (interval)",
+                                     -3.5553480614894135),
+                                    ("Tuesdaythis|last|next <cycle>", -4.471638793363569),
+                                    ("Sunday<named-month> <day-of-month> (non ordinal)",
+                                     -4.471638793363569),
+                                    ("dayminute", -2.6798793241355137),
+                                    ("intersectyear", -4.471638793363569),
+                                    ("minuteday", -3.5553480614894135),
+                                    ("this|last|next <cycle>Sunday", -4.471638793363569),
+                                    ("Sundaythis|last|next <cycle>", -4.471638793363569),
+                                    ("intersectintersect", -4.471638793363569),
+                                    ("weekday", -4.471638793363569),
+                                    ("dayweek", -3.373026504695459),
+                                    ("Thursday<time-of-day> am|pm", -4.471638793363569),
+                                    ("Monday<named-month> <day-of-month> (non ordinal)",
+                                     -4.0661736852554045),
+                                    ("<named-month> <day-of-month> (non ordinal)year",
+                                     -4.0661736852554045)],
+                               n = 55},
+                   koData =
+                     ClassData{prior = -0.9622758451159785, unseen = -4.897839799950911,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("week-endJuly", -4.197201947661808),
+                                    ("week-endOctober", -3.5040547671018634),
+                                    ("daymonth", -1.9999773703255892),
+                                    ("TuesdaySeptember", -4.197201947661808),
+                                    ("Wednesdayintersect", -4.197201947661808),
+                                    ("hourmonth", -3.0985896589936988),
+                                    ("intersect by \",\", \"of\", \"from\", \"'s\"intersect",
+                                     -4.197201947661808),
+                                    ("Fridaythis|last|next <cycle>", -4.197201947661808),
+                                    ("SundayFebruary", -4.197201947661808),
+                                    ("WednesdayOctober", -4.197201947661808),
+                                    ("week-endintersect", -4.197201947661808),
+                                    ("dayyear", -4.197201947661808),
+                                    ("FridayJuly", -3.791736839553644),
+                                    ("<named-month> <day-of-month> (non ordinal)intersect",
+                                     -4.197201947661808),
+                                    ("FridaySeptember", -4.197201947661808),
+                                    ("WednesdayFebruary", -4.197201947661808),
+                                    ("minutemonth", -3.2809112157876537),
+                                    ("SundayMarch", -4.197201947661808),
+                                    ("Fridayintersect by \",\", \"of\", \"from\", \"'s\"",
+                                     -4.197201947661808),
+                                    ("MondayFebruary", -3.791736839553644),
+                                    ("Fridayintersect", -4.197201947661808),
+                                    ("Thursday<time-of-day> - <time-of-day> (interval)",
+                                     -3.791736839553644),
+                                    ("dayminute", -2.810907586541918),
+                                    ("SaturdaySeptember", -4.197201947661808),
+                                    ("intersectSeptember", -3.2809112157876537),
+                                    ("MondayMarch", -4.197201947661808),
+                                    ("on <date>September", -3.791736839553644),
+                                    ("intersectintersect", -4.197201947661808),
+                                    ("Tuesdayintersect", -4.197201947661808),
+                                    ("Sundayintersect", -4.197201947661808)],
+                               n = 34}}),
+       ("last <time>",
+        Classifier{okData =
+                     ClassData{prior = -1.0116009116784799,
+                               unseen = -3.4011973816621555,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Father's Day", -2.6741486494265287),
+                                    ("Martin Luther King's Day", -2.6741486494265287),
+                                    ("Memorial Day", -2.6741486494265287),
+                                    ("Mother's Day", -2.6741486494265287),
+                                    ("day", -1.2878542883066382), ("Sunday", -2.6741486494265287),
+                                    ("Thanksgiving Day", -2.6741486494265287),
+                                    ("hour", -2.6741486494265287), ("Tuesday", -2.6741486494265287),
+                                    ("week-end", -2.6741486494265287)],
+                               n = 8},
+                   koData =
+                     ClassData{prior = -0.45198512374305727,
+                               unseen = -3.7376696182833684,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("intersect", -3.0204248861443626),
+                                    ("Monday", -3.0204248861443626), ("day", -2.1041341542702074),
+                                    ("Sunday", -3.0204248861443626),
+                                    ("intersect by \",\", \"of\", \"from\", \"'s\"",
+                                     -1.7676619176489945),
+                                    ("hour", -1.3156767939059373),
+                                    ("week-end", -1.9218125974762528)],
+                               n = 14}}),
+       ("March",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.9444389791664407,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 17},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<named-month>|<named-day> <day-of-month> (ordinal)",
+        Classifier{okData =
+                     ClassData{prior = -0.11778303565638351,
+                               unseen = -3.2188758248682006,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Octoberordinal (digits)", -2.0794415416798357),
+                                    ("Thursdayordinal (digits)", -2.4849066497880004),
+                                    ("day", -2.0794415416798357),
+                                    ("Augustordinal (digits)", -2.4849066497880004),
+                                    ("Marchordinals (first..twentieth,thirtieth,...)",
+                                     -2.0794415416798357),
+                                    ("Tuesdayordinal (digits)", -2.4849066497880004),
+                                    ("month", -1.2321436812926323),
+                                    ("Marchordinal (digits)", -2.4849066497880004)],
+                               n = 8},
+                   koData =
+                     ClassData{prior = -2.1972245773362196,
+                               unseen = -2.3978952727983707,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Augustordinal (digits)", -1.6094379124341003),
+                                    ("month", -1.6094379124341003)],
+                               n = 1}}),
+       ("Labor Day weekend",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<day-of-month> (ordinal)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [("ordinal (digits)", 0.0)], n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Christmas",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 6},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("until <time-of-day>",
+        Classifier{okData =
+                     ClassData{prior = -0.9808292530117262, unseen = -3.044522437723423,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("time-of-day (latent)", -2.3025850929940455),
+                                    ("<time-of-day> am|pm", -1.6094379124341003),
+                                    ("hh:mm", -1.8971199848858813), ("hour", -1.8971199848858813),
+                                    ("minute", -1.3862943611198906)],
+                               n = 6},
+                   koData =
+                     ClassData{prior = -0.4700036292457356, unseen = -3.367295829986474,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("intersect", -1.7227665977411035),
+                                    ("yesterday", -2.2335922215070942),
+                                    ("day", -2.2335922215070942), ("hh:mm", -1.7227665977411035),
+                                    ("hour", -2.639057329615259), ("minute", -1.252762968495368)],
+                               n = 10}}),
+       ("<duration> after|before|from <time>",
+        Classifier{okData =
+                     ClassData{prior = -0.35667494393873245,
+                               unseen = -3.4339872044851463,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("a <unit-of-duration>now", -2.70805020110221),
+                                    ("a <unit-of-duration>Christmas", -2.70805020110221),
+                                    ("<integer> <unit-of-duration>today", -2.70805020110221),
+                                    ("daysecond", -2.70805020110221),
+                                    ("a <unit-of-duration>right now", -2.70805020110221),
+                                    ("minutenograin", -2.70805020110221),
+                                    ("<integer> <unit-of-duration>Christmas", -2.70805020110221),
+                                    ("secondnograin", -2.70805020110221),
+                                    ("yearday", -2.0149030205422647),
+                                    ("daynograin", -2.70805020110221),
+                                    ("<integer> <unit-of-duration>now", -2.3025850929940455)],
+                               n = 7},
+                   koData =
+                     ClassData{prior = -1.2039728043259361,
+                               unseen = -3.1354942159291497,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("dayhour", -2.3978952727983707),
+                                    ("<integer> <unit-of-duration><day-of-month> (ordinal)",
+                                     -2.3978952727983707),
+                                    ("dayday", -1.9924301646902063),
+                                    ("<integer> <unit-of-duration>time-of-day (latent)",
+                                     -2.3978952727983707),
+                                    ("<integer> <unit-of-duration><day-of-month> (ordinal or number) <named-month>",
+                                     -2.3978952727983707)],
+                               n = 3}}),
+       ("Independence Day",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("decimal number",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("next <time>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.5263605246161616,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Martin Luther King's Day", -2.803360380906535),
+                                    ("Halloween", -2.803360380906535),
+                                    ("Wednesday", -2.803360380906535),
+                                    ("Memorial Day", -2.803360380906535),
+                                    ("Monday", -2.803360380906535),
+                                    ("Mother's Day", -2.803360380906535),
+                                    ("day", -1.0986122886681098),
+                                    ("Thanksgiving Day", -2.803360380906535),
+                                    ("March", -2.803360380906535), ("month", -2.803360380906535),
+                                    ("Tuesday", -2.1102132003465894)],
+                               n = 11},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.4849066497880004,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<time-of-day> sharp|exactly",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.890371757896165,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("at <time-of-day>", -2.1400661634962708),
+                                    ("time-of-day (latent)", -2.1400661634962708),
+                                    ("hhmm (latent)", -2.1400661634962708),
+                                    ("<time-of-day> am|pm", -2.1400661634962708),
+                                    ("hh:mm", -2.1400661634962708), ("hour", -1.7346010553881064),
+                                    ("minute", -1.4469189829363254)],
+                               n = 5},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -2.0794415416798357,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Memorial Day Weekend",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("negative numbers",
+        Classifier{okData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0},
+                   koData =
+                     ClassData{prior = 0.0, unseen = -3.258096538021482,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 24}}),
+       ("about|exactly <duration>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("half an hour", -0.6931471805599453),
+                                    ("minute", -0.6931471805599453)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<time> before last|after next",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.639057329615259,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Wednesday", -1.8718021769015913),
+                                    ("Friday", -1.466337068793427), ("day", -1.1786549963416462),
+                                    ("March", -1.8718021769015913), ("month", -1.8718021769015913)],
+                               n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("by the end of <time>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("this|last|next <cycle>", -0.6931471805599453),
+                                    ("month", -0.6931471805599453)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("hhmm (military) am|pm",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<datetime> - <datetime> (interval)",
+        Classifier{okData =
+                     ClassData{prior = -0.48550781578170077,
+                               unseen = -3.891820298110627,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("minuteminute", -1.4733057381095205),
+                                    ("hh:mmhh:mm", -1.6739764335716716),
+                                    ("dayday", -2.772588722239781),
+                                    ("hourhour", -2.2617630984737906),
+                                    ("<named-month> <day-of-month> (non ordinal)<named-month> <day-of-month> (non ordinal)",
+                                     -2.772588722239781),
+                                    ("intersect by \",\", \"of\", \"from\", \"'s\"hh:mm",
+                                     -2.772588722239781),
+                                    ("intersect by \",\", \"of\", \"from\", \"'s\"<time-of-day> am|pm",
+                                     -3.1780538303479458),
+                                    ("<time-of-day> am|pm<time-of-day> am|pm",
+                                     -2.4849066497880004)],
+                               n = 16},
+                   koData =
+                     ClassData{prior = -0.9555114450274363,
+                               unseen = -3.6109179126442243,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<named-month> <day-of-month> (non ordinal)July",
+                                     -2.890371757896165),
+                                    ("daymonth", -2.4849066497880004),
+                                    ("<time-of-day> am|pmintersect", -2.890371757896165),
+                                    ("hh:mm<time-of-day> am|pm", -2.4849066497880004),
+                                    ("minuteminute", -1.9740810260220096),
+                                    ("hourhour", -2.4849066497880004),
+                                    ("minutehour", -2.4849066497880004),
+                                    ("hh:mmintersect", -1.9740810260220096),
+                                    ("<named-month> <day-of-month> (non ordinal)August",
+                                     -2.890371757896165),
+                                    ("about|exactly <time-of-day><time-of-day> am|pm",
+                                     -2.890371757896165)],
+                               n = 10}}),
+       ("Tuesday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.639057329615259,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 12},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("New Year's Day",
+        Classifier{okData =
+                     ClassData{prior = -0.6931471805599453,
+                               unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -0.6931471805599453,
+                               unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2}}),
+       ("fortnight",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<integer> and an half hour",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("integer (numeric)", 0.0)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("in <named-month>",
+        Classifier{okData =
+                     ClassData{prior = -0.6931471805599453,
+                               unseen = -2.0794415416798357,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("October", -1.252762968495368), ("March", -1.252762968495368),
+                                    ("month", -0.8472978603872037)],
+                               n = 2},
+                   koData =
+                     ClassData{prior = -0.6931471805599453,
+                               unseen = -2.0794415416798357,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("October", -0.8472978603872037),
+                                    ("month", -0.8472978603872037)],
+                               n = 2}}),
+       ("<time-of-day> - <time-of-day> (interval)",
+        Classifier{okData =
+                     ClassData{prior = -0.8873031950009028,
+                               unseen = -3.7376696182833684,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("minuteminute", -1.5163474893680884),
+                                    ("hh:mmhh:mm", -1.5163474893680884),
+                                    ("<time-of-day> am|pmtime-of-day (latent)", -2.327277705584417),
+                                    ("hourhour", -1.7676619176489945),
+                                    ("<time-of-day> am|pm<time-of-day> am|pm", -2.327277705584417)],
+                               n = 14},
+                   koData =
+                     ClassData{prior = -0.5306282510621704,
+                               unseen = -3.9889840465642745,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("about|exactly <time-of-day>time-of-day (latent)",
+                                     -3.2771447329921766),
+                                    ("hh:mmtime-of-day (latent)", -1.5723966407537513),
+                                    ("hh:mm<time-of-day> am|pm", -2.871679624884012),
+                                    ("<time-of-day> am|pmtime-of-day (latent)",
+                                     -3.2771447329921766),
+                                    ("at <time-of-day><time-of-day> am|pm", -3.2771447329921766),
+                                    ("hourhour", -2.0243817644968085),
+                                    ("minutehour", -1.262241712449912),
+                                    ("about|exactly <time-of-day><time-of-day> am|pm",
+                                     -3.2771447329921766),
+                                    ("at <time-of-day>time-of-day (latent)", -2.871679624884012),
+                                    ("<integer> to|till|before <hour-of-day>time-of-day (latent)",
+                                     -2.871679624884012)],
+                               n = 20}}),
+       ("nth <time> after <time>",
+        Classifier{okData =
+                     ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("dayday", -0.916290731874155),
+                                    ("ordinals (first..twentieth,thirtieth,...)Tuesdayintersect",
+                                     -0.916290731874155)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -0.6931471805599453, unseen = -1.791759469228055,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("dayday", -0.916290731874155),
+                                    ("ordinals (first..twentieth,thirtieth,...)TuesdayChristmas",
+                                     -0.916290731874155)],
+                               n = 1}}),
+       ("<named-month> <day-of-month> (non ordinal)",
+        Classifier{okData =
+                     ClassData{prior = -0.35667494393873245,
+                               unseen = -3.9318256327243257,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Augustinteger (numeric)", -2.5257286443082556),
+                                    ("Marchinteger (numeric)", -2.8134107167600364),
+                                    ("Aprilinteger (numeric)", -3.2188758248682006),
+                                    ("month", -0.8209805520698302),
+                                    ("Februaryinteger (numeric)", -1.9661128563728327),
+                                    ("Septemberinteger (numeric)", -2.8134107167600364),
+                                    ("Octoberinteger (numeric)", -2.8134107167600364),
+                                    ("Julyinteger (numeric)", -2.120263536200091)],
+                               n = 21},
+                   koData =
+                     ClassData{prior = -1.2039728043259361, unseen = -3.295836866004329,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Augustinteger (numeric)", -2.159484249353372),
+                                    ("Marchinteger (numeric)", -2.5649493574615367),
+                                    ("Aprilinteger (numeric)", -2.5649493574615367),
+                                    ("month", -0.9555114450274363),
+                                    ("Julyinteger (numeric)", -1.466337068793427)],
+                               n = 9}}),
+       ("this|next <day-of-week>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.995732273553991,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Thursday", -2.2512917986064953),
+                                    ("Wednesday", -2.2512917986064953),
+                                    ("Monday", -1.845826690498331), ("day", -0.8649974374866046),
+                                    ("Tuesday", -1.55814461804655)],
+                               n = 7},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("ordinal (digits)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.5553480614894135,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 33},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("quarter (grain)",
+        Classifier{okData =
+                     ClassData{prior = -0.2876820724517809, unseen = -2.639057329615259,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 12},
+                   koData =
+                     ClassData{prior = -1.3862943611198906, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4}}),
+       ("last <cycle> of <time>",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.9444389791664407,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("day (grain)October", -1.791759469228055),
+                                    ("daymonth", -1.2809338454620642),
+                                    ("day (grain)intersect", -1.791759469228055),
+                                    ("weekmonth", -1.791759469228055),
+                                    ("week (grain)intersect", -2.1972245773362196),
+                                    ("week (grain)September", -2.1972245773362196)],
+                               n = 6},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("seasons",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("<day-of-month>(ordinal) <named-month> year",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("ordinal (digits)April", -0.6931471805599453),
+                                    ("month", -0.6931471805599453)],
+                               n = 1},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("Labor Day",
+        Classifier{okData =
+                     ClassData{prior = -0.2876820724517809,
+                               unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -1.3862943611198906,
+                               unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("week-end",
+        Classifier{okData =
+                     ClassData{prior = -1.5040773967762742,
+                               unseen = -1.3862943611198906,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 2},
+                   koData =
+                     ClassData{prior = -0.25131442828090605,
+                               unseen = -2.1972245773362196,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 7}}),
+       ("after <time-of-day>",
+        Classifier{okData =
+                     ClassData{prior = -1.6094379124341003,
+                               unseen = -2.4849066497880004,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("time-of-day (latent)", -1.7047480922384253),
+                                    ("<time-of-day> am|pm", -1.7047480922384253),
+                                    ("hour", -1.2992829841302609)],
+                               n = 2},
+                   koData =
+                     ClassData{prior = -0.2231435513142097,
+                               unseen = -3.1780538303479458,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("intersect", -2.03688192726104),
+                                    ("tomorrow", -2.03688192726104), ("day", -1.3437347467010947),
+                                    ("time-of-day (latent)", -2.4423470353692043),
+                                    ("<time-of-day> am|pm", -2.4423470353692043),
+                                    ("Christmas", -2.03688192726104), ("hour", -1.749199854809259)],
+                               n = 8}}),
+       ("day (grain)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.2188758248682006,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 23},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("black friday",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.791759469228055,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 4},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("right now",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 3},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("for <duration> from <time>",
+        Classifier{okData =
+                     ClassData{prior = -0.40546510810816444,
+                               unseen = -2.3025850929940455,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("<integer> <unit-of-duration><day-of-month> (ordinal)",
+                                     -1.5040773967762742),
+                                    ("dayday", -1.0986122886681098),
+                                    ("<integer> <unit-of-duration><day-of-month> (ordinal or number) <named-month>",
+                                     -1.5040773967762742)],
+                               n = 2},
+                   koData =
+                     ClassData{prior = -1.0986122886681098,
+                               unseen = -2.0794415416798357,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("dayhour", -1.252762968495368),
+                                    ("<integer> <unit-of-duration>time-of-day (latent)",
+                                     -1.252762968495368)],
+                               n = 1}}),
+       ("between <time> and <time>",
+        Classifier{okData =
+                     ClassData{prior = -1.0986122886681098,
+                               unseen = -2.4849066497880004,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("minuteminute", -1.0116009116784799),
+                                    ("hh:mmhh:mm", -1.0116009116784799)],
+                               n = 3},
+                   koData =
+                     ClassData{prior = -0.40546510810816444,
+                               unseen = -2.890371757896165,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("hh:mmtime-of-day (latent)", -1.4469189829363254),
+                                    ("minuteminute", -1.4469189829363254),
+                                    ("minutehour", -1.4469189829363254),
+                                    ("hh:mmintersect", -1.4469189829363254)],
+                               n = 6}}),
+       ("<month> dd-dd (interval)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -3.1354942159291497,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Julyinteger (numeric)integer (numeric)", -1.2992829841302609),
+                                    ("Augustordinal (digits)integer (numeric)",
+                                     -1.9924301646902063),
+                                    ("month", -0.7884573603642702),
+                                    ("Augustordinal (digits)ordinal (digits)",
+                                     -1.9924301646902063)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.6094379124341003,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("part of days",
+        Classifier{okData =
+                     ClassData{prior = -4.0821994520255166e-2,
+                               unseen = -3.258096538021482,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 24},
+                   koData =
+                     ClassData{prior = -3.2188758248682006,
+                               unseen = -1.0986122886681098,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 1}}),
+       ("dd-dd <month> (interval)",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.9444389791664407,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("integer (numeric)integer (numeric)September",
+                                     -1.791759469228055),
+                                    ("ordinal (digits)ordinal (digits)July", -2.1972245773362196),
+                                    ("ordinal (digits)ordinal (digits)October",
+                                     -2.1972245773362196),
+                                    ("integer (numeric)integer (numeric)July", -2.1972245773362196),
+                                    ("month", -0.9444616088408514),
+                                    ("ordinal (digits)ordinal (digits)August",
+                                     -2.1972245773362196)],
+                               n = 6},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -1.9459101490553135,
+                               likelihoods = HashMap.fromList [], n = 0}}),
+       ("this <time>",
+        Classifier{okData =
+                     ClassData{prior = -0.10536051565782628,
+                               unseen = -3.332204510175204,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("Thursday", -2.6026896854443837),
+                                    ("Martin Luther King's Day", -2.6026896854443837),
+                                    ("intersect", -2.6026896854443837),
+                                    ("Monday", -2.6026896854443837), ("day", -1.2163953243244932),
+                                    ("Thanksgiving Day", -2.6026896854443837),
+                                    ("hour", -2.1972245773362196), ("seasons", -1.9095425048844386),
+                                    ("week-end", -2.6026896854443837)],
+                               n = 9},
+                   koData =
+                     ClassData{prior = -2.3025850929940455,
+                               unseen = -2.4849066497880004,
+                               likelihoods =
+                                 HashMap.fromList
+                                   [("intersect", -1.7047480922384253),
+                                    ("day", -1.7047480922384253)],
+                               n = 1}}),
+       ("August",
+        Classifier{okData =
+                     ClassData{prior = 0.0, unseen = -2.0794415416798357,
+                               likelihoods = HashMap.fromList [("", 0.0)], n = 6},
+                   koData =
+                     ClassData{prior = -infinity, unseen = -0.6931471805599453,
+                               likelihoods = HashMap.fromList [], n = 0}})]
\ No newline at end of file
diff --git a/Duckling/Rules/EN.hs b/Duckling/Rules/EN.hs
index 007eef78a..e04b1b97f 100644
--- a/Duckling/Rules/EN.hs
+++ b/Duckling/Rules/EN.hs
@@ -29,6 +29,7 @@ import qualified Duckling.Ordinal.EN.Rules as Ordinal
 import qualified Duckling.Quantity.EN.Rules as Quantity
 import qualified Duckling.Temperature.EN.Rules as Temperature
 import qualified Duckling.Time.EN.Rules as Time
+import qualified Duckling.Time.EN.CA.Rules as TimeCA
 import qualified Duckling.Time.EN.GB.Rules as TimeGB
 import qualified Duckling.Time.EN.US.Rules as TimeUS
 import qualified Duckling.TimeGrain.EN.Rules as TimeGrain
@@ -38,10 +39,12 @@ defaultRules :: Some Dimension -> [Rule]
 defaultRules dim@(This Time) =
   [ TimeUS.ruleMMDD
   , TimeUS.ruleMMDDYYYY
+  , TimeUS.ruleThanksgiving
   ] ++ langRules dim
 defaultRules dim = langRules dim
 
 localeRules :: Region -> Some Dimension -> [Rule]
+localeRules CA (This Time) = TimeCA.rules
 localeRules GB (This Time) = TimeGB.rules
 localeRules US (This Time) = TimeUS.rules
 localeRules _ _            = []
diff --git a/Duckling/Time/EN/CA/Corpus.hs b/Duckling/Time/EN/CA/Corpus.hs
new file mode 100644
index 000000000..2da9b0762
--- /dev/null
+++ b/Duckling/Time/EN/CA/Corpus.hs
@@ -0,0 +1,60 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+{-# LANGUAGE OverloadedStrings #-}
+
+module Duckling.Time.EN.CA.Corpus
+  ( allExamples
+  ) where
+
+import Data.String
+import Prelude
+
+import Duckling.Testing.Types hiding (examples)
+import Duckling.Time.Corpus
+import Duckling.Time.Types hiding (Month)
+import Duckling.TimeGrain.Types hiding (add)
+
+allExamples :: [Example]
+allExamples = concat
+  [ examples (datetime (2013, 2, 15, 0, 0, 0) Day)
+             [ "2/15"
+             , "on 2/15"
+             , "2 / 15"
+             , "2-15"
+             , "2 - 15"
+             ]
+  , examples (datetime (1974, 10, 31, 0, 0, 0) Day)
+             [ "10/31/1974"
+             , "10/31/74"
+             , "10-31-74"
+             ]
+  , examples (datetime (2013, 4, 25, 16, 0, 0) Minute)
+             [ "4/25 at 4:00pm"
+             ]
+  , examples (datetime (2013, 10, 14, 0, 0, 0) Day)
+             [ "thanksgiving day"
+             , "thanksgiving"
+             , "thanksgiving 2013"
+             , "this thanksgiving"
+             , "next thanksgiving day"
+             ]
+  , examples (datetime (2014, 10, 13, 0, 0, 0) Day)
+             [ "thanksgiving of next year"
+             , "thanksgiving 2014"
+             ]
+  , examples (datetime (2012, 10, 8, 0, 0, 0) Day)
+             [ "last thanksgiving"
+             , "thanksgiving day 2012"
+             ]
+  , examples (datetime (2016, 10, 10, 0, 0, 0) Day)
+             [ "thanksgiving 2016"
+             ]
+  , examples (datetime (2017, 10, 9, 0, 0, 0) Day)
+             [ "thanksgiving 2017"
+             ]
+  ]
diff --git a/Duckling/Time/EN/CA/Rules.hs b/Duckling/Time/EN/CA/Rules.hs
new file mode 100644
index 000000000..79d910bd5
--- /dev/null
+++ b/Duckling/Time/EN/CA/Rules.hs
@@ -0,0 +1,69 @@
+-- Copyright (c) 2016-present, Facebook, Inc.
+-- All rights reserved.
+--
+-- This source code is licensed under the BSD-style license found in the
+-- LICENSE file in the root directory of this source tree. An additional grant
+-- of patent rights can be found in the PATENTS file in the same directory.
+
+
+{-# LANGUAGE GADTs #-}
+{-# LANGUAGE NoRebindableSyntax #-}
+{-# LANGUAGE OverloadedStrings #-}
+
+module Duckling.Time.EN.CA.Rules
+  ( rules
+  ) where
+
+import Data.Maybe
+import Prelude
+
+import Duckling.Dimensions.Types
+import Duckling.Numeral.Helpers (parseInt)
+import Duckling.Regex.Types
+import Duckling.Time.Helpers
+import Duckling.Time.Types (TimeData (..))
+import Duckling.Types
+
+-- Although one can see both MMDD and DDMM in Canada,
+-- there is no direct way to implement this today. Let's fallback to MMDD (US).
+ruleMMDD :: Rule
+ruleMMDD = Rule
+  { name = "mm/dd"
+  , pattern = [regex "(0?[1-9]|1[0-2])\\s?[/-]\\s?(3[01]|[12]\\d|0?[1-9])"]
+  , prod = \tokens -> case tokens of
+      (Token RegexMatch (GroupMatch (mm:dd:_)):_) -> do
+        m <- parseInt mm
+        d <- parseInt dd
+        tt $ monthDay m d
+      _ -> Nothing
+  }
+
+ruleMMDDYYYY :: Rule
+ruleMMDDYYYY = Rule
+  { name = "mm/dd/yyyy"
+  , pattern =
+    [regex "(0?[1-9]|1[0-2])[/-](3[01]|[12]\\d|0?[1-9])[-/](\\d{2,4})"]
+  , prod = \tokens -> case tokens of
+      (Token RegexMatch (GroupMatch (mm:dd:yy:_)):_) -> do
+        y <- parseInt yy
+        m <- parseInt mm
+        d <- parseInt dd
+        tt $ yearMonthDay y m d
+      _ -> Nothing
+  }
+
+ruleThanksgiving :: Rule
+ruleThanksgiving = Rule
+  { name = "Thanksgiving Day"
+  , pattern =
+    [ regex "thanks?giving( day)?"
+    ]
+  , prod = \_ -> tt $ nthDOWOfMonth 2 1 10 -- Second Monday of October
+  }
+
+rules :: [Rule]
+rules =
+  [ ruleMMDD
+  , ruleMMDDYYYY
+  , ruleThanksgiving
+  ]
diff --git a/Duckling/Time/EN/Corpus.hs b/Duckling/Time/EN/Corpus.hs
index 0f380e95e..653c7fd83 100644
--- a/Duckling/Time/EN/Corpus.hs
+++ b/Duckling/Time/EN/Corpus.hs
@@ -44,6 +44,27 @@ defaultCorpus = (testContext, allExamples ++ custom)
       , examples (datetime (2013, 4, 25, 16, 0, 0) Minute)
                  [ "4/25 at 4:00pm"
                  ]
+      , examples (datetime (2013, 11, 28, 0, 0, 0) Day)
+                 [ "thanksgiving day"
+                 , "thanksgiving"
+                 , "thanksgiving 2013"
+                 , "this thanksgiving"
+                 , "next thanksgiving day"
+                 ]
+      , examples (datetime (2014, 11, 27, 0, 0, 0) Day)
+                 [ "thanksgiving of next year"
+                 , "thanksgiving 2014"
+                 ]
+      , examples (datetime (2012, 11, 22, 0, 0, 0) Day)
+                 [ "last thanksgiving"
+                 , "thanksgiving day 2012"
+                 ]
+      , examples (datetime (2016, 11, 24, 0, 0, 0) Day)
+                 [ "thanksgiving 2016"
+                 ]
+      , examples (datetime (2017, 11, 23, 0, 0, 0) Day)
+                 [ "thanksgiving 2017"
+                 ]
       ]
 
 negativeCorpus :: NegativeCorpus
@@ -613,27 +634,6 @@ allExamples = concat
              , "next halloween"
              , "Halloween 2013"
              ]
-  , examples (datetime (2013, 11, 28, 0, 0, 0) Day)
-             [ "thanksgiving day"
-             , "thanksgiving"
-             , "thanksgiving 2013"
-             , "this thanksgiving"
-             , "next thanksgiving day"
-             ]
-  , examples (datetime (2014, 11, 27, 0, 0, 0) Day)
-             [ "thanksgiving of next year"
-             , "thanksgiving 2014"
-             ]
-  , examples (datetime (2012, 11, 22, 0, 0, 0) Day)
-             [ "last thanksgiving"
-             , "thanksgiving day 2012"
-             ]
-  , examples (datetime (2016, 11, 24, 0, 0, 0) Day)
-             [ "thanksgiving 2016"
-             ]
-  , examples (datetime (2017, 11, 23, 0, 0, 0) Day)
-             [ "thanksgiving 2017"
-             ]
   , examples (datetime (2013, 11, 29, 0, 0, 0) Day)
              [ "black friday"
              , "black friday of this year"
diff --git a/Duckling/Time/EN/GB/Corpus.hs b/Duckling/Time/EN/GB/Corpus.hs
index c0cd97802..4e6611b06 100644
--- a/Duckling/Time/EN/GB/Corpus.hs
+++ b/Duckling/Time/EN/GB/Corpus.hs
@@ -36,4 +36,25 @@ allExamples = concat
   , examples (datetime (2013, 4, 25, 16, 0, 0) Minute)
              [ "25/4 at 4:00pm"
              ]
+  , examples (datetime (2013, 11, 28, 0, 0, 0) Day)
+             [ "thanksgiving day"
+             , "thanksgiving"
+             , "thanksgiving 2013"
+             , "this thanksgiving"
+             , "next thanksgiving day"
+             ]
+  , examples (datetime (2014, 11, 27, 0, 0, 0) Day)
+             [ "thanksgiving of next year"
+             , "thanksgiving 2014"
+             ]
+  , examples (datetime (2012, 11, 22, 0, 0, 0) Day)
+             [ "last thanksgiving"
+             , "thanksgiving day 2012"
+             ]
+  , examples (datetime (2016, 11, 24, 0, 0, 0) Day)
+             [ "thanksgiving 2016"
+             ]
+  , examples (datetime (2017, 11, 23, 0, 0, 0) Day)
+             [ "thanksgiving 2017"
+             ]
   ]
diff --git a/Duckling/Time/EN/GB/Rules.hs b/Duckling/Time/EN/GB/Rules.hs
index 202b363ad..186437338 100644
--- a/Duckling/Time/EN/GB/Rules.hs
+++ b/Duckling/Time/EN/GB/Rules.hs
@@ -53,8 +53,18 @@ ruleDDMMYYYY = Rule
       _ -> Nothing
   }
 
+ruleThanksgiving :: Rule
+ruleThanksgiving = Rule
+  { name = "Thanksgiving Day"
+  , pattern =
+    [ regex "thanks?giving( day)?"
+    ]
+  , prod = \_ -> tt $ nthDOWOfMonth 4 4 11 -- Fourth Thursday of November
+  }
+
 rules :: [Rule]
 rules =
   [ ruleDDMM
   , ruleDDMMYYYY
+  , ruleThanksgiving
   ]
diff --git a/Duckling/Time/EN/Rules.hs b/Duckling/Time/EN/Rules.hs
index b2dde3bf2..fe6a883b4 100644
--- a/Duckling/Time/EN/Rules.hs
+++ b/Duckling/Time/EN/Rules.hs
@@ -1264,10 +1264,6 @@ moreUSHolidays =
     , "mother'?s?'? day"
     , 2, 7, 5
     )
-  , ( "Thanksgiving Day" -- Fourth Thursday of November
-    , "thanks?giving( day)?"
-    , 4, 4, 11
-    )
   ,  ( "Labor Day" -- First Monday of September
      , "labor day"
      , 1, 1, 9
diff --git a/Duckling/Time/EN/US/Corpus.hs b/Duckling/Time/EN/US/Corpus.hs
index 838a09ed9..81cdf9ac3 100644
--- a/Duckling/Time/EN/US/Corpus.hs
+++ b/Duckling/Time/EN/US/Corpus.hs
@@ -36,4 +36,25 @@ allExamples = concat
   , examples (datetime (2013, 4, 25, 16, 0, 0) Minute)
              [ "4/25 at 4:00pm"
              ]
+  , examples (datetime (2013, 11, 28, 0, 0, 0) Day)
+             [ "thanksgiving day"
+             , "thanksgiving"
+             , "thanksgiving 2013"
+             , "this thanksgiving"
+             , "next thanksgiving day"
+             ]
+  , examples (datetime (2014, 11, 27, 0, 0, 0) Day)
+             [ "thanksgiving of next year"
+             , "thanksgiving 2014"
+             ]
+  , examples (datetime (2012, 11, 22, 0, 0, 0) Day)
+             [ "last thanksgiving"
+             , "thanksgiving day 2012"
+             ]
+  , examples (datetime (2016, 11, 24, 0, 0, 0) Day)
+             [ "thanksgiving 2016"
+             ]
+  , examples (datetime (2017, 11, 23, 0, 0, 0) Day)
+             [ "thanksgiving 2017"
+             ]
   ]
diff --git a/Duckling/Time/EN/US/Rules.hs b/Duckling/Time/EN/US/Rules.hs
index 81ff3e40d..8b09ef916 100644
--- a/Duckling/Time/EN/US/Rules.hs
+++ b/Duckling/Time/EN/US/Rules.hs
@@ -14,6 +14,7 @@ module Duckling.Time.EN.US.Rules
   ( rules
   , ruleMMDD
   , ruleMMDDYYYY
+  , ruleThanksgiving
   ) where
 
 import Data.Maybe
@@ -52,8 +53,18 @@ ruleMMDDYYYY = Rule
       _ -> Nothing
   }
 
+ruleThanksgiving :: Rule
+ruleThanksgiving = Rule
+  { name = "Thanksgiving Day"
+  , pattern =
+    [ regex "thanks?giving( day)?"
+    ]
+  , prod = \_ -> tt $ nthDOWOfMonth 4 4 11 -- Fourth Thursday of November
+  }
+
 rules :: [Rule]
 rules =
   [ ruleMMDD
   , ruleMMDDYYYY
+  , ruleThanksgiving
   ]
diff --git a/duckling.cabal b/duckling.cabal
index 1202d6d79..e14294cce 100644
--- a/duckling.cabal
+++ b/duckling.cabal
@@ -82,6 +82,7 @@ library
                      , Duckling.Ranking.Classifiers.CS_XX
                      , Duckling.Ranking.Classifiers.DA_XX
                      , Duckling.Ranking.Classifiers.DE_XX
+                     , Duckling.Ranking.Classifiers.EN_CA
                      , Duckling.Ranking.Classifiers.EN_GB
                      , Duckling.Ranking.Classifiers.EN_US
                      , Duckling.Ranking.Classifiers.EN_XX
@@ -436,6 +437,8 @@ library
                      , Duckling.Time.DE.Rules
                      , Duckling.Time.EN.Corpus
                      , Duckling.Time.EN.Rules
+                     , Duckling.Time.EN.CA.Corpus
+                     , Duckling.Time.EN.CA.Rules
                      , Duckling.Time.EN.GB.Corpus
                      , Duckling.Time.EN.GB.Rules
                      , Duckling.Time.EN.US.Corpus
diff --git a/exe/Duckling/Ranking/Generate.hs b/exe/Duckling/Ranking/Generate.hs
index bc175cea5..35bec52aa 100644
--- a/exe/Duckling/Ranking/Generate.hs
+++ b/exe/Duckling/Ranking/Generate.hs
@@ -30,6 +30,7 @@ import Duckling.Testing.Types
 import qualified Duckling.Time.DA.Corpus as DATime
 import qualified Duckling.Time.DE.Corpus as DETime
 import qualified Duckling.Time.EN.Corpus as ENTime
+import qualified Duckling.Time.EN.CA.Corpus as EN_CATime
 import qualified Duckling.Time.EN.GB.Corpus as EN_GBTime
 import qualified Duckling.Time.EN.US.Corpus as EN_USTime
 import qualified Duckling.Time.ES.Corpus as ESTime
@@ -188,6 +189,7 @@ getCorpusForLang VI = VITime.corpus
 getCorpusForLang ZH = ZHTime.corpus
 
 getExamplesForLocale :: Lang -> Region -> [Example]
+getExamplesForLocale EN CA = EN_CATime.allExamples
 getExamplesForLocale EN GB = EN_GBTime.allExamples
 getExamplesForLocale EN US = EN_USTime.allExamples
 getExamplesForLocale ZH CN = ZH_CNTime.allExamples
diff --git a/tests/Duckling/Time/EN/GB/Tests.hs b/tests/Duckling/Time/EN/GB/Tests.hs
deleted file mode 100644
index 1c614842c..000000000
--- a/tests/Duckling/Time/EN/GB/Tests.hs
+++ /dev/null
@@ -1,24 +0,0 @@
--- Copyright (c) 2016-present, Facebook, Inc.
--- All rights reserved.
---
--- This source code is licensed under the BSD-style license found in the
--- LICENSE file in the root directory of this source tree. An additional grant
--- of patent rights can be found in the PATENTS file in the same directory.
-
-
-module Duckling.Time.EN.GB.Tests
-  ( tests
-  ) where
-
-import Data.String
-import Prelude
-import Test.Tasty
-
-import Duckling.Dimensions.Types
-import Duckling.Time.EN.GB.Corpus
-import Duckling.Testing.Asserts
-
-tests :: TestTree
-tests = testGroup "EN_GB Tests"
-  [ makeCorpusTest [This Time] corpus
-  ]
diff --git a/tests/Duckling/Time/EN/Tests.hs b/tests/Duckling/Time/EN/Tests.hs
index 244956725..d9d3e325b 100644
--- a/tests/Duckling/Time/EN/Tests.hs
+++ b/tests/Duckling/Time/EN/Tests.hs
@@ -29,6 +29,7 @@ import Duckling.Testing.Types hiding (examples)
 import Duckling.Time.Corpus
 import Duckling.Time.EN.Corpus
 import Duckling.TimeGrain.Types (Grain(..))
+import qualified Duckling.Time.EN.CA.Corpus as CA
 import qualified Duckling.Time.EN.GB.Corpus as GB
 import qualified Duckling.Time.EN.US.Corpus as US
 
@@ -44,7 +45,11 @@ tests = testGroup "EN Tests"
 
 localeTests :: TestTree
 localeTests = testGroup "Locale Tests"
-  [ testGroup "EN_GB Tests"
+  [ testGroup "EN_CA Tests"
+    [ makeCorpusTest [This Time] $ withLocale corpus localeCA CA.allExamples
+    , makeNegativeCorpusTest [This Time] $ withLocale negativeCorpus localeCA []
+    ]
+  , testGroup "EN_GB Tests"
     [ makeCorpusTest [This Time] $ withLocale corpus localeGB GB.allExamples
     , makeNegativeCorpusTest [This Time] $ withLocale negativeCorpus localeGB []
     ]
@@ -54,6 +59,7 @@ localeTests = testGroup "Locale Tests"
     ]
   ]
   where
+    localeCA = makeLocale EN $ Just CA
     localeGB = makeLocale EN $ Just GB
     localeUS = makeLocale EN $ Just US
 
diff --git a/tests/Duckling/Time/EN/US/Tests.hs b/tests/Duckling/Time/EN/US/Tests.hs
deleted file mode 100644
index e386677b5..000000000
--- a/tests/Duckling/Time/EN/US/Tests.hs
+++ /dev/null
@@ -1,24 +0,0 @@
--- Copyright (c) 2016-present, Facebook, Inc.
--- All rights reserved.
---
--- This source code is licensed under the BSD-style license found in the
--- LICENSE file in the root directory of this source tree. An additional grant
--- of patent rights can be found in the PATENTS file in the same directory.
-
-
-module Duckling.Time.EN.US.Tests
-  ( tests
-  ) where
-
-import Data.String
-import Prelude
-import Test.Tasty
-
-import Duckling.Dimensions.Types
-import Duckling.Time.EN.US.Corpus
-import Duckling.Testing.Asserts
-
-tests :: TestTree
-tests = testGroup "EN_US Tests"
-  [ makeCorpusTest [This Time] corpus
-  ]