Advances in Probabilistic and Other Parsing Technologies

  • Harry Bunt
  • Anton Nijholt
Part of the Text, Speech and Language Technology book series (TLTB, volume 16)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Bunt Harry, Nijholt Anton
    Pages 1-12
  3. John Carroll, David Weir
    Pages 13-28
  4. Joshua Goodman
    Pages 63-84
  5. Kentaro Inui, Virach Sornlertlamvanich, Hozumi Tanaka, Takenobu Tokunaga
    Pages 85-104
  6. Christopher D. Manning, Bob Carpenter
    Pages 105-124
  7. Juntae Yoon, Seonho Kim, Mansuk Song
    Pages 125-139
  8. John Chen, K. Vijay-Shanker
    Pages 141-159
  9. Udo Hahn, Norbert Bröker, Peter Neuhaus
    Pages 177-201
  10. Mark-Jan Nederhof
    Pages 221-241
  11. Helmut Schmid
    Pages 243-261
  12. Back Matter
    Pages 263-269

About this book

Introduction

Parsing technology is concerned with finding syntactic structure in language. In parsing we have to deal with incomplete and not necessarily accurate formal descriptions of natural languages. Robustness and efficiency are among the main issuesin parsing. Corpora can be used to obtain frequency information about language use. This allows probabilistic parsing, an approach that aims at both robustness and efficiency increase. Approximation techniques, to be applied at the level of language description, parsing strategy, and syntactic representation, have the same objective. Approximation at the level of syntactic representation is also known as underspecification, a traditional technique to deal with syntactic ambiguity.
In this book new parsing technologies are collected that aim at attacking the problems of robustness and efficiency by exactly these techniques: the design of probabilistic grammars and efficient probabilistic parsing algorithms, approximation techniques applied to grammars and parsers to increase parsing efficiency, and techniques for underspecification and the integration of semantic information in the syntactic analysis to deal with massive ambiguity.
The book gives a state-of-the-art overview of current research and development in parsing technologies. In its chapters we see how probabilistic methods have entered the toolbox of computational linguistics in order to be applied in both parsing theory and parsing practice. The book is both a unique reference for researchers and an introduction to the field for interested graduate students.

Keywords

Index Parsing algorithms computational linguistics grammar linguistics syntactic

Editors and affiliations

  • Harry Bunt
    • 1
  • Anton Nijholt
    • 2
  1. 1.Tilburg UniversityThe Netherlands
  2. 2.University of TwenteEnschedeThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-015-9470-7
  • Copyright Information Springer Science+Business Media B.V. 2000
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-5579-8
  • Online ISBN 978-94-015-9470-7
  • Series Print ISSN 1386-291X
  • About this book