Foundations of Statistical Natural Language Processing - Christopher D. Manning

Foundations of Statistical Natural Language Processing

Christopher D. Manning

出版社

The MIT Press

出版时间

1999-06-18

ISBN

9780262133609

评分

★★★★★
书籍介绍

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

显示全部
用户评论
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
看完了(心虚
NLP中很好的书籍,不过由于出版时间有点久了,内容有点旧,我感觉宗老师的 统计自然语言处理 第二版 基本可以取代这本书,既有新的内容,也有中文信息处理的部门。
作为NLP领域最主要的理论入门书,这本书深入浅出地展示了很多经典的模型算法,虽然现在看有点偏老了,也没有涉及最近很火的deep learning,但是作为入门绝对是足够的。
课本飘过……
This book published 20 years ago, but the content still new to me. Statistical NLP is the most interdisciplinary in my view, it involves Linguistics, Computer Science, Statistics, Information Theory, even Philosophy and Neurosciences if you want to know more about NLP
经典
书写的挺好,就是比较过时了。。。
收藏