Lexical acquisition and clustering of word senses to conceptual lexicon construction

Abstract

We describe a mechanism and an algorithm to support construction of a large complex conceptual lexicon from an existing alphabetical lexicon. As part of this research, we define lexical models to present words and lexicons. Given the fact that an alphabetical lexicon contains lexical information about words which are organized by their spelling, constructing a conceptual lexicon requires an identification of lexical concepts and their relationships. Lexical acquisition and word-sense clustering are introduced to identify the lexical concepts and to discover the conceptual relationships. The result of this research is a set of candidate concepts which can be treated as initial concepts for the conceptual lexicon construction.