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Foundations of Statistical Natural Language Processing读书介绍

类别 页数 译者 网友评分 年代 出版社
书籍 620页 9.0 2020 The MIT Press
定价 出版日期 最近访问 访问指数
USD 110.00 2020-02-20 … 2020-03-04 … 50
主题/类型/题材/标签
NLP,自然语言处理,机器学习,统计学习,计算机,Statistics,经典,AI,
作者
Christopher D. Manning      ISBN:9780262133609    原作名/别名:《》
内容和作者简介
Foundations of Statistical Natural Language Processing摘要

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...

作者简介

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.

本书后续版本
未发行或暂未收录
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