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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Natural Language Processing Using Very Large Corpora

Natural Language Processing Using Very Large Corpora

Armstrong, S.
Church, Kenneth W.
Isabelle, Pierre

Hardcover

Series: Text, Speech and Language Technology, Book 11

LinguisticsTechnology & EngineeringGeneral Computers

ISBN10: 0792360559
ISBN13: 9780792360551
Publisher: Springer Nature
Published: Nov 30 1999
Pages: 305
Weight: 1.45
Height: 0.94 Width: 6.54 Depth: 9.70
Language: English
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.

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