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.
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.
评分书确实介绍了自然语言处理的方方面面,但是我个人读这本书却觉得非常的难受,不吐不快。 按理说这本书应该是可以面向初学者,当做教材使用的。而且这本书确实也是我们自然语言处理课程老师推荐的阅读教材。然而读起来我却觉得特别的难。 倒不是这本书的内容有多么的艰深,事实...
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
读的第三版的draft,很清楚
评分今天读完第三遍,算是我的 NLP 圣经了。 每一遍都有不一样的醍醐灌顶。 宏观的知识脉络总结,细节的论文索引, 关键还有理论模型的演进历史。 一篇一篇 196x 年的论文读下来,心里反差有点大。
评分都是很老的知识,nlp就是统计词的概率,有点无聊
评分不明觉厉
评分读的第三版的draft,很清楚
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