Daniel Jurafsky (http://www.stanford.edu/~jurafsky/) is an Associate Professor in the Department of Linguistics at Stanford University.
This is the 2nd edition of "Speech and Language Processing, 2000" (http://www.douban.com/subject/1810715/).
An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology – at all levels and with all modern technologies – this book takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. Builds each chapter around one or more worked examples demonstrating the main idea of the chapter, usingthe examples to illustrate the relative strengths and weaknesses of various approaches. Adds coverage of statistical sequence labeling, information extraction, question answering and summarization, advanced topics in speech recognition, speech synthesis. Revises coverage of language modeling, formal grammars, statistical parsing, machine translation, and dialog processing. A useful reference for professionals in any of the areas of speech and language processing.
书的前面几章节很有启发性,但是后面几章理论偏多,实用性的东西稍有欠缺.总体来说还是一本难得的好书. 还有这本书设计了太多的内容,没法在这几百页里面说清楚也是必然,书后的参考文献,乖乖,好多,绝对是好东西.
评分这本书的深度和宽度控制得当,适合对计算语言学和NLP各个领域都有初步的认识。来自CU Boulder的作者的组是VerbNet, Propbank和FrameNet整合者。 对于新入门的NLPer, 请务必到作者的个人主页看第三版! https://web.stanford.edu/~jurafsky/slp3/ 它大幅删减了对目前NLP意义没那...
评分很不错的一本书,作者很权威,内容很全面,深度适当。 也许对某些问题不是非常的深入,但是几乎囊括了自然语言处理的方方面面。 做搜索引擎、信息检索方面的同志也可以了解下。
评分一本不错的NLP教科书。这里有一篇书评,是评论此书和一本德语的计算语言学教科书的。各位如有兴趣可看看。http://lingviko.net/clcomp.pdf
涵盖的面很广,没必要都读,肯定不可能都读完读懂。重要概念解释地还是挺清楚的,和Manning搭配着看作为互补比较好。
评分适合对概念查缺补漏
评分看的第三版,这本书真的超级棒
评分读的第三版的draft,很清楚
评分啊这本书Linguistic的东西看着头好大...
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