Fix egregious typo

index.html

@@ -91,7 +91,7 @@ <h3>Terminology</h3>
 
         <p class="definition"><dfn>Corpus</dfn> The natural language text contained by a document or set of documents which the user would like to search.</p>
         <p class="definition"><dfn>Segmentation</dfn> The process of breaking natural language text up into distinct words and phrases. This often includes operations such as "named entity recognition" (such as recognizing that the three word sequence <strong>Dr. Jonas Salk</strong> is a person's name).</p>
-        <p class="definition"><dfn data-lt="stemming|lemmatization">Stemming</dfn> A process or operation that reduces words to their "stem" or root. For example, the words <strong>runs</strong>, <strong>ran</strong>, and <strong>running</strong> all share the stem <strong>run</strong>. This some sometimes called (more formally) <em>lemmatization</em> and the stem is sometimes called the <em>lemma</em>.</p>
+        <p class="definition"><dfn data-lt="stemming|lemmatization">Stemming</dfn> A process or operation that reduces words to their "stem" or root. For example, the words <strong>runs</strong>, <strong>ran</strong>, and <strong>running</strong> all share the stem <strong>run</strong>. This is sometimes called (more formally) <em>lemmatization</em> and the stem is sometimes called the <em>lemma</em>.</p>
 
         <p class="definition"><dfn data-lt="full text search|full-text search|full text searching">Full-Text Search</dfn> refers to searches that process the entire contents of the textual document or set of documents. Full-text queries perform linguistic searches against text data in full-text indexes by operating on words and phrases based on the rules of a particular language such as English or Japanese. Full-text queries can include simple words and phrases or multiple forms of a word or phrase.</p>
         <p>Frequently this means that a <a>full-text search</a> employs indexes and natural language processing. When you are using a search engine, you are using a form of full text search. Full text search often breaks natural language text into words or phrases (this is called <a>segmentation</a>) and may apply complex processing to get at the semantic "root" values of words (this is called <a>stemming</a>). These processes are sensitive to language, context, and many other aspects of textual variation.</p>