The semantic analysis of ^/-phrases for word sense disambiguation

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چکیده

The aim of this paper is to show that the construction of semantic resources is a sine qua non if one wishes to tackle such complex and ambitious tasks as word sense disambiguation or (machine) translation selection, which are notorious stumbling blocks in most natural language processing systems. More specifically, I will illustrate my contention with examples featuring o/phrases to show that semantically-oriented lexicons are absolutely essential if one wishes to develop systems able to parse phrases and recognize their heads, a necessary step in word sense disambiguation.

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تاریخ انتشار 2008