Foundations of Statistical Natural Language Processing

作者：ChristopherD.Manning/HinrichSchütze

出版社：TheMITPress

出版年：1999-6-18

页数：620

定价：USD110.00

装帧：Hardcover

ISBN：9780262133609

内容简介
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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.

目录
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Introduction

Mathematical Foundations

Linguistic Essentials

Corpus-Based Work

Collocations

Statistical Inference: n-gram Models over Sparse Data

Word Sense Disambiguation

Lexical Acquisition

Markov Models

Part-of-Speech Tagging

Probabilistic Context Free Grammars

Probabilistic Parsing

Statistical Alignment and Machine Translation

Clustering

Topics in Information Retrieval

Text Categorization

评论 ······

比较基础 全面

入门书 涉猎面比SMT广 NLP都有涉及

:
H08/M283

国外经典教材，读得不多，略读过了。

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