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...
評分内容涵盖很广,但是在实践应用方面没有太多的笔墨。特别是后面讲语义处理的几章,只有方法的介绍,当然这还和这些领域的不成熟有关。由于包括了几乎所有和自然语言处理相关的方方面面,所以在具体讲述这些东西的时候不是很细致。比如对于如何发现词的搭配这个问题,《统计自然...
評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.
評分开篇第一句话:“在Stanley Kubrick的2001年的电影《太空奥德赛》中,有一台称为HAL的9000计算机。” 据说这一版翻译的还可以,但是第一句话就能把人晕翻了。如果译者当时把译文多给几个人看一下也不会出现这种低级错误。 重新翻一下:“在斯坦利库布里克的电影《2001太空漫游...
不明覺厲
评分NLP這個field感覺亂的一烏盡糟
评分每讀一遍都有新發現。真是寫得太好瞭!
评分NLP第一個就應該讀這本,比那些中文的書好太多瞭
评分為瞭理解HMM特意看瞭這本書第三版(https://web.stanford.edu/~jurafsky/slp3/)的幾章內容,不得不說斯坦福在NLP方麵積澱極深,這本綜論寫的也不錯。
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