Natural Language Processing Using Very Large Corpora

  • Susan Armstrong
  • Kenneth Church
  • Pierre Isabelle
  • Sandra Manzi
  • Evelyne Tzoukermann
  • David Yarowsky

Part of the Text, Speech and Language Technology book series (TLTB, volume 11)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. X. Tong, C. Huang, C. Guo
    Pages 67-75
  3. F. C. Pereira, Y. Singer, N. Tishby
    Pages 121-136
  4. L. A. Ramshaw, M. P. Marcus
    Pages 157-176
  5. I. Dagan, K. Church, W. Gale
    Pages 209-224
  6. P. Van Der Eijk
    Pages 253-268
  7. Back Matter
    Pages 297-305

About this book

Introduction

ABOUT THIS BOOK This book is intended for researchers who want to keep abreast of cur­ rent developments in corpus-based natural language processing. It is not meant as an introduction to this field; for readers who need one, several entry-level texts are available, including those of (Church and Mercer, 1993; Charniak, 1993; Jelinek, 1997). This book captures the essence of a series of highly successful work­ shops held in the last few years. The response in 1993 to the initial Workshop on Very Large Corpora (Columbus, Ohio) was so enthusias­ tic that we were encouraged to make it an annual event. The following year, we staged the Second Workshop on Very Large Corpora in Ky­ oto. As a way of managing these annual workshops, we then decided to register a special interest group called SIGDAT with the Association for Computational Linguistics. The demand for international forums on corpus-based NLP has been expanding so rapidly that in 1995 SIGDAT was led to organize not only the Third Workshop on Very Large Corpora (Cambridge, Mass. ) but also a complementary workshop entitled From Texts to Tags (Dublin). Obviously, the success of these workshops was in some measure a re­ flection of the growing popularity of corpus-based methods in the NLP community. But first and foremost, it was due to the fact that the work­ shops attracted so many high-quality papers.

Keywords

Parsing grammar knowledge language learning natural language natural language processing supervised learning

Editors and affiliations

  • Susan Armstrong
    • 1
  • Kenneth Church
    • 2
  • Pierre Isabelle
    • 3
  • Sandra Manzi
    • 1
  • Evelyne Tzoukermann
    • 4
  • David Yarowsky
    • 5
  1. 1.ISSCOUniversity of GenevaSwitzerland
  2. 2.AT & T Labs-ResearchUSA
  3. 3.Xerox Research Centre EuropeFrance
  4. 4.Bell LaboratoriesLucentUSA
  5. 5.Johns Hopkins UniversityBaltimoreUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-2390-9
  • Copyright Information Springer Science+Business Media B.V. 1999
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-5349-7
  • Online ISBN 978-94-017-2390-9
  • Series Print ISSN 1386-291X
  • About this book