The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis. New to the Second Edition Greater prominence of statistical approaches New applications section Broader multilingual scope to include Asian and European languages, along with English An actively maintained wiki (http://handbookofnlp.cse.unsw.edu.au) that provides online resources, supplementary information, and up-to-date developments Divided into three sections, the book first surveys classical techniques, including both symbolic and empirical approaches. The second section focuses on statistical approaches in natural language processing. In the final section of the book, each chapter describes a particular class of application, from Chinese machine translation to information visualization to ontology construction to biomedical text mining. Fully updated with the latest developments in the field, this comprehensive, modern handbook emphasizes how to implement practical language processing tools in computational systems.
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除了不大容易看懂意以外，写的还行～
评分确实是Handbook，算是顶级学者合集吧
评分确实是Handbook，算是顶级学者合集吧
评分从实践的角度看，比那些冠以“计算语言学”的Handbook更有用。与第一版相比，不再有神经网络那一部分了。
评分除了不大容易看懂意以外，写的还行～
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