Natural language processing (NLP) is often based on declaratively represented grammars with emphasis on the competence of an ideal speaker/hearer. In contrast to these broadly used methods, we present a procedural and performance-oriented approach to the analysis of natural language expressions. The method is based on the idea that each word-class can be connected with a functional construct, the so-called word agent, processing its own part of speech. The syntactic-semantic analysis performed by the word-class agents is surveyed by a Word-Class Agent Machine (WCAM) used in the bibliographic information retrieval system LINAS at the University of Hagen
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.