Natural Language Processing Using Very Large Corpora (Text, Speech and Language Technology 11) :

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

ISBN 10: 0792360559 / ISBN 13: 9780792360551

Verlag: Heidelberg, Springer, 1999

Beschreibung

320 Seiten : Ausgetragenes Bibliotheksexemplar, Buch ist in einem sehr guten Zustand, Schnitt gestempelt, Papier in sehr gutem Zustand. B12-03-06G Sprache: Englisch Gewicht in Gramm: 1399.

Bestandsnummer des Verkäufers 1894223

Bibliografische Details

• Titel: Natural Language Processing Using Very Large Corpora (Text, Speech and Language Technology 11) :
• Verlag: Heidelberg, Springer
• Veröffentlichungsdatum: 1999
• Sprache: Englisch
• ISBN-10: 0792360559
• ISBN-13: 9780792360551
• Bindung: Gr.-8°, hardcover
• Zustand: Sehr gut
• Verkäuferkataloge:
  • Sprachwissenschaften

Über diesen Titel

Inhaltsangabe

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.