Abstract
Collocations, which are cohesive and recurrent word clusters, play an important role in many natural language application systems. In this paper, we present a set of new techniques for automatically identifying or extracting collocations from corpora. These techniques are based on words position information, and produce a wide range of collocations, including continuous or discontinuous collocations. The effectiveness has been confirmed by evaluation experiments using the ADD (ATR Dialogue Database) corpus.
