A word usually expresses many implications, connotations and attitudes in addition to its lexicon meaning. And a word often has near-synonyms that differ from it solely in these nuances of meaning and in the degrees of expression In a truly articulate linguistic system, there is a need of a highly sophisticated lexical-choice process that can determine which of the near-synonyms is best suited for a given word. The most widely used English lexical database - WordNet, organizes the near-synonyms into entities called synsets, but fails to identify finer differences among them for a better lexical-choice process In this paper, we discuss an approach to extend the lexical knowledge base of near-synonym differences by using a set of psycholinguistic experiments aimed to address this particular task in hand.
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