Handbook of natural language processing / edited by Nitin Indurkhya, Fred J. Damerau

Contributor(s): Indurkhya, Nitin [] | Damerau, Frederick J []Material type: TextTextSeries: Chapman & Hall/CRC machine learning & pattern recognition seriesPublication details: Boca Raton : Chapman & Hall/CRC, 2010 Edition: 2nd ed.Description: XXIII, 678 p. : il. ; 26 cmISBN: 9781420085921Subject(s): Inteligencia artificial | Proceso en lenguaje natural (Informática)
Contents:
pt. 1. Classical approaches -- pt. 2. Empirical and Statistical Approaches -- pt. 3. Applications.
Summary: This comprehensive, modern handbook presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition offers greater prominence to statistical approaches and a broader multilingual scope to include Asian and European languages. It also contains a new applications section that covers many well-known and emerging applications, including machine translation, biomedical text mining, and sentiment analysis. In addition, an actively maintained companion wiki (http://handbookofnlp.cse.unsw.edu.au) provides online resources, supplementary information, and up-to-date developments.
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Item type Home library Call number Status Date due Barcode Item holds Course reserves
Manuales 06. BIBLIOTECA HUMANIDADES
801/HAN (Browse shelf(Opens below)) Available   Shelving location | Bibliomaps® 3744569732

LINGÜÍSTICA COMPUTACIONAL GRADO EN LINGÜÍSTICA Y LENGUAS APLICADAS Actualizada_2024

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Índice

Bibliografía

pt. 1. Classical approaches --
pt. 2. Empirical and Statistical Approaches --
pt. 3. Applications.

This comprehensive, modern handbook presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition offers greater prominence to statistical approaches and a broader multilingual scope to include Asian and European languages. It also contains a new applications section that covers many well-known and emerging applications, including machine translation, biomedical text mining, and sentiment analysis. In addition, an actively maintained companion wiki (http://handbookofnlp.cse.unsw.edu.au) provides online resources, supplementary information, and up-to-date developments.

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