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This study explores an approach to text generation that interprets systemic grammar as a computational representation. Terry Patten demonstrates that systemic grammar can be easily and automatically translated into current AI knowledge representations and efficiently processed by the same knowledge-based techniques currently exploited by expert systems.

A primary problem in the area of natural language processing has been that of semantic analysis. Semantic Processing for Finite Domains presents an approach to the computational processing of English text that combines current theories of knowledge representation and reasoning in Artificial Intelligence with the latest linguistic views of lexical semantics.

Editors Madeleine Bates and Ralph Weischedel have invited capable researchers in the field of natural language processing to address theoretical or applied work that has been achieved in the past.

This book explains how to build Natural Language Generation systems - computer software systems which automatically generate understandable texts in English or other human languages. The book covers the algorithms and representations needed to perform the core tasks of document planning, microplanning, and surface realization.

A collection of new papers by leading researchers on natural language parsing.

Computational Lexical Semantics is one of the first volumes to provide models for the creation of various kinds of computerized lexicons.

The lexicon is now a major focus of research in computational linguistics and natural language processing (NLP). This collection describes techniques of lexical representation within a unification-based framework and their linguistic application, concentrating on the issue of structuring the lexicon using inheritance and defaults.