Foundations of Statistical Natural Language Processing

Christopher Manning, Hinrig Schütze

712 pages, parution le 31/08/1999

Ajouter à une liste

Indisponible

Résumé

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.

Sommaire

Preliminaries
- Introduct
- Mathematical Foundations
- Linguistic Essentials
- Corpus-Based Work
Words
- Collocations
- Statistical Inference: n-gram Models over Sparse Data
- Word Sense Disambiguation
- Lexical Acquisition
Grammar
- Markov Models
- Part-of-Speech Tagging
- Probabilistic Context Free Grammars
- Probabilistic Parsing
Applications and Techniques
- Statistical Alignment and Machine Translation
- Clustering
- Topics in Information Retrieval
- Text Categorization

Voir tout

Replier

Caractéristiques techniques

	PAPIER
Éditeur(s)	The MIT Press
Auteur(s)	Christopher Manning, Hinrig Schütze
Parution	31/08/1999
Nb. de pages	712
Couverture	Broché
Poids	1630g
Intérieur	Noir et Blanc
EAN13	9780262133609
ISBN13	978-0-262-13360-9