Distributional similarity provides a technique for obtaining semantically related words from corpus data using automated methods that compare the contexts in which the words appear. Such methods can be useful for producing thesauruses, with application to work in lexicography and computational linguistics. However, the most similar words produced using these methods are not always near synonyms...