New Developments in Parsing Technology

  • Harry Bunt
  • John Carroll
  • Giorgio Satta

Part of the Text, Speech and Language Technology book series (TLTB, volume 23)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Harry Bunt, John Carroll, Giorgio Satta
    Pages 1-18
  3. John Carroll, Ted Briscoe
    Pages 57-72
  4. John Chen, Vijay K. Shanker
    Pages 73-89
  5. James Henderson
    Pages 107-124
  6. Miguel A. Alonso, Éric de la Clergerie, Víctor J. Díaz, Manuel Vilares
    Pages 157-184
  7. Bernd Kiefer, Hans-Ulrich Krieger
    Pages 229-250
  8. Henk Harkema
    Pages 251-268
  9. Pierre Boullier
    Pages 269-289
  10. Yikun Guo, Fuliang Weng, Lide Wu
    Pages 291-306
  11. Marsal Gavaldà
    Pages 339-350
  12. Dan Klein, Christopher D. Manning
    Pages 351-372
  13. Back Matter
    Pages 397-404

About this book


Parsing can be defined as the decomposition of complex structures into their constituent parts, and parsing technology as the methods, the tools, and the software to parse automatically. Parsing is a central area of research in the automatic processing of human language. Parsers are being used in many application areas, for example question answering, extraction of information from text, speech recognition and understanding, and machine translation. New developments in parsing technology are thus widely applicable.

This book contains contributions from many of today's leading researchers in the area of natural language parsing technology. The contributors describe their most recent work and a diverse range of techniques and results. This collection provides an excellent picture of the current state of affairs in this area. This volume is the third in a series of such collections, and its breadth of coverage should make it suitable both as an overview of the current state of the field for graduate students, and as a reference for established researchers.


Analysis Parsing algorithms classification complexity learning learning theory machine translation natural language optimization speech recognition

Editors and affiliations

  • Harry Bunt
    • 1
  • John Carroll
    • 2
  • Giorgio Satta
    • 3
  1. 1.Tilburg UniversityTilburgThe Netherlands
  2. 2.University of SussexBrightonUK
  3. 3.University of PaduaPaduaItaly

Bibliographic information