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 |
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.
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