The Core Language Engine presents the theoretical and engineering advances embodied in one of the most comprehensive natural language processing systems designed to date. Recent research results from different areas of computational linguistics are integrated into a single elegant design with potential for application to tasks ranging from machine translation to information system interfaces.
Bridging the gap between theoretical and implementation oriented literature, The Core Language Engine describes novel analyses and techniques developed by the contributors at SRI International's Cambridge Computer Science Research Centre. It spans topics that include a wide-coverage unification grammar for English syntax and semantics, context-dependent and contextually disambiguated logical form representations, interactive translation, efficient algorithms for parsing and generation, and mechanisms for quantifier scoping, reference resolution, and lexical acquisition.
Contents Introduction to the CLE • Logical Forms • Categories and Rules • Unification Based Syntactic Analysis • Semantic Rules for English • Lexical Analysis • Syntactic and Semantic Processing • Quantifier Scopin • Sortal Restrictions • Resolving Quasi Logical Forms • Lexical Acquisition • The CLE in Application Development • Ellipsis, Comparatives, and Generation • Swedish-English QLF Translation
HardcoverOut of Print ISBN: 9780262011266 340 pp. | 6.2 in x 9.1 in
Paperback$30.00 X ISBN: 9780262512091 340 pp. | 6.2 in x 9.1 in
This is a clear and thorough account of a well motivated and coherent general-purpose langauge processing system. The book's detailed descritption, with many examples, of a system combining theorestical rigour with practical implementation will be invaluable for teachers, students and researchers alike.
Dr. K Sparck Jones
Assistant Director of Research, Computer Laboratory, University of Cambridge
This book shows a most comprehensive computational treatment of English, including all aspects of the language, not only syntactic but semantic and contextual aspects as well. Because the author's treatment is both theoretically sound and computationally effective, it will also give useful insight to both liguists and computer engineers involved in NLP.
Director, Centre for Computational Linguistics