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 foundation...
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
· · · · · ·
Introduction
Mathematical Foundations
Linguistic Essentials
Corpus-Based Work
Collocations
Statistical Inference: n-gram Models over Sparse Data
· · · · · ·
(更多)
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
· · · · · · (收起)
We suspect that speech recognition people prefer to report the larger
non-logarithmic numbers given by perplexity mainly because it is much
easier to
impress funding bodies
by saying that “we’ve managed to reduce perplexity from 950 to only 540” than by saying that “we’ve reduced
cross entropy from 9.9 to 9.1 bits.” (查看原文)
苏格拉底大王
电子工业出版社2005版
realplayer-z
电子工业出版社2005版
1 有用 菊 2015-10-22 14:10:47
一些基本理论写得很清楚，对所需的数学基础也解释得很易理解。只看了部分章节
1 有用 蝉 2013-12-26 14:48:33
: H08/M283
0 有用 36° 2012-03-04 18:30:05
比较基础 全面
0 有用 禾三 2010-02-15 13:08:19
CS600.465
0 有用 玉狐狸 2012-03-14 22:33:05
算读过吧-__-