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.
这本书的英文版已经出到第三版了。而且是Stanford CS124 课程(http://web.stanford.edu/class/cs124/)用的参考书籍。 中文版的没读过,英文版的读过几章,结合 CS124 课程来看,对NLP中的基本概念的理解是非常有帮助(入门级),对数学和计算机的基础还是有一些要求的,个人觉得...
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
评分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.
想买一本,但是太贵了...
评分读了第三版第27章,跟旧版相比章节顺序调了,内容也更加丰富。起码语音学的这章讲得很详细易懂。
评分一刷~期待来年的advanced nlp
评分啊这本书Linguistic的东西看着头好大...
评分粗读的,没什么难点。早上看这书,发现HMM那章和我上周的slides的outline几乎一样,之前自己没参考,好开心。
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