Foundations of Statistical Natural Language Processing
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| 参考価格: | ¥ 7,890 |
| 価格: | ¥ 7,594 1500円以上は送料無料 詳細 |
発送可能時期: 在庫あり。
販売、発送は Amazon.co.jp
商品の説明
"Statistical natural-language processing is, in my estimation, one of the most fast-moving and exciting areas of computer science these days. Anyone who wants to learn this field would be well advised to get this book. For that matter, the same goes for anyone who is already in the field. I know that it is going to be one of the most well-thumbed books on my bookshelf." -- Eugene Charniak, Department of Computer Science, Brown University
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.
More on this book
商品の詳細
- Amazon.co.jp ランキング: #28527 / 本
- 発売日: 1999-06-18
- オリジナル言語: 英語
- 版型: ハードカバー
- 620 ページ
エディターレビュー
内容説明
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.
About the Author
Christopher D. Manning is Assistant Professor in the Department of Computer Science at Stanford University. Hinrich Schütze is on the Research Staff at the Xerox Palo Alto Research Center.
カスタマーレビュー
All you wanted to know about statistical NLP...
Manning and Shutze have created a must-have volume for any serious student or professional in the NLP world. Not only are all the techniques and methods detailed, experiments described and results analysed, but its all backed up with the required bits and pieces of statistics, linguistics and computational linguistics.
Written in an informal manner, this is an ideal reference and a great tutor.
トピックを俯瞰するのにはよい
確率的な技法を用いるという立場から、この分野においてどんなテーマがあるのかを俯瞰するのには、良いと思います。
何せ16章もあるため、これで十分という深さまでは到達できません。
この本で興味をもったテーマを、文献をたどって行くというスタンスで。




