Editors:
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 196)
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Table of contents (22 chapters)
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Front Matter
About this book
Natural Language Processing: The PLNLP Approach describes one group's decade of research in pursuit of that goal. A very broad coverage NLP system, including a programming language (PLNLP) development tools, and analysis and synthesis components, was developed and incorporated into a variety of well-known practical applications, ranging from text critiquing (CRITIQUE) to machine translation (e.g. SHALT). This books represents the first published collection of papers describing the system and how it has been used. Twenty-six authors from nine countries contributed to this volume.
Natural language analysis, in the PLNLP approach, is done is six stages that move smoothly from syntax through semantics into discourse. The initial syntactic sketch is provided by an Augmented Phrase Structure Grammar (APSG) that uses exclusively binary rules and aims to produce some reasonable analysis for any input string. Its `approximate' analysis passes to the reassignment component, which takes the default syntactic attachments and adjusts them, using semantic information obtained by parsing definitions and example sentences from machine-readable dictionaries. This technique is an example of one facet of the PLNLP approach: the use of natural language itself as a knowledge representation language -- an innovation that permits a wide variety of online text materials to be exploited as sources of semantic information.
The next stage computes the intrasential argument structure and resolves all references, both NP- and VP-anaphora, that can be treated at this point in the processing. Subsequently, additional components, currently not so well developed as the earlier ones, handle the further disambiguation of word senses, the normalization of paraphrases, and the construction of a paragraph (discourse) model by joining sentential semantic graphs.
Natural Language Processing: The PLNLP Approach acquaints the reader with the theory and application of a working, real-world, domain-free NLP system, and attempts to bridge the gap between computational and theoretical models of linguistic structure. It provides a valuable resource for students, teachers, and researchers in the areas of computational linguistics, natural processing, artificial intelligence, and information science.
Editors and Affiliations
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Microsoft Research, Microsoft Corporation, Redmond, USA
Karen Jensen, George E. Heidorn, Stephen D. Richardson
Bibliographic Information
Book Title: Natural Language Processing: The PLNLP Approach
Editors: Karen Jensen, George E. Heidorn, Stephen D. Richardson
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-3170-8
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1993
Hardcover ISBN: 978-0-7923-9279-8Due: 31 October 1992
Softcover ISBN: 978-1-4613-6389-7Published: 26 February 2013
eBook ISBN: 978-1-4615-3170-8Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XVII, 324
Number of Illustrations: 2 b/w illustrations
Topics: Natural Language Processing (NLP), Artificial Intelligence, Computational Linguistics