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Natural Language Processing Using Very Large Corpora

  • Book
  • © 1999

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Editors:
  1. Susan Armstrong

    1. ISSCO, University of Geneva, Switzerland

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  2. Kenneth Church

    1. AT & T Labs-Research, USA

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  3. Pierre Isabelle

    1. Xerox Research Centre Europe, France

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  4. Sandra Manzi

    1. ISSCO, University of Geneva, Switzerland

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  5. Evelyne Tzoukermann

    1. Bell Laboratories, Lucent, USA

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  6. David Yarowsky

    1. Johns Hopkins University, Baltimore, USA

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

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Implementation and Evaluation of a German HMM for POS Disambiguation

    • H. Feldweg
    Pages 1-12

  3. Improvements in Part-of-Speech Tagging with an Application to German

    • H. Schmid
    Pages 13-25

  4. Unsupervised Learning of Disambiguation Rules for Part-of-Speech Tagging

    • E. Brill, M. Pop
    Pages 27-42

  5. Tagging French without Lexical Probabilities — Combining Linguistic Knowledge and Statistical Learning

    • E. Tzoukermann, D. Radev, W. Gale
    Pages 43-65

  6. Example-Based Sense Tagging of Running Chinese Text

    • X. Tong, C. Huang, C. Guo
    Pages 67-75

  7. Disambiguating Noun Groupings with Respect to WordNet Senses

    • P. Resnik
    Pages 77-98

  8. A Comparison of Corpus-Based Techniques for Restoring Accents in Spanish and French Text

    • D. Yarowsky
    Pages 99-120

  9. Beyond Word N-Grams

    • F. C. Pereira, Y. Singer, N. Tishby
    Pages 121-136

  10. Statistical Augmentation of a Chinese Machine-Readable Dictionary

    • P. Fung, D. Wu
    Pages 137-155

  11. Text Chunking Using Transformation-Based Learning

    • L. A. Ramshaw, M. P. Marcus
    Pages 157-176

  12. Prepositional Phrase Attachment Through a Backed-off Model

    • M. Collins, J. Brooks
    Pages 177-189

  13. On the Unsupervised Induction of Phrase-Structure Grammars

    • C. de Marcken
    Pages 191-208

  14. Robust Bilingual Word Alignment for Machine Aided Translation

    • I. Dagan, K. Church, W. Gale
    Pages 209-224

  15. Iterative Alignment of Syntactic Structures for a Bilingual Corpus

    • R. Grishman
    Pages 225-234

  16. Trainable Coarse Bilingual Grammars for Parallel Text Bracketing

    • D. Wu
    Pages 235-252

  17. Comparative Discourse Analysis of Parallel Texts

    • P. Van Der Eijk
    Pages 253-268

  18. Comparing the Retrieval Performance of English and Japanese Text Databases

    • H. Fujii, W. B. Croft
    Pages 269-282

  19. Inverse Document Frequency (IDF): A Measure of Deviations from Poisson

    • K. Church, W. Gale
    Pages 283-295

  20. Back Matter

    Pages 297-305
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Keywords

About this book

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.

Editors and Affiliations

  • ISSCO, University of Geneva, Switzerland

    Susan Armstrong, Sandra Manzi

  • AT & T Labs-Research, USA

    Kenneth Church

  • Xerox Research Centre Europe, France

    Pierre Isabelle

  • Bell Laboratories, Lucent, USA

    Evelyne Tzoukermann

  • Johns Hopkins University, Baltimore, USA

    David Yarowsky

Bibliographic Information

  • Book Title: Natural Language Processing Using Very Large Corpora

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

  • Series Title: Text, Speech and Language Technology

  • DOI: https://doi.org/10.1007/978-94-017-2390-9

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media Dordrecht 1999

  • Hardcover ISBN: 978-0-7923-6055-1Published: 30 November 1999

  • Softcover ISBN: 978-90-481-5349-7Published: 15 December 2010

  • eBook ISBN: 978-94-017-2390-9Published: 17 April 2013

  • Series ISSN: 1386-291X

  • Series E-ISSN: 2542-9388

  • Edition Number: 1

  • Number of Pages: XV, 305

  • Topics: Computational Linguistics, Artificial Intelligence, Electrical Engineering

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