Daniel Jurafsky (http://www.stanford.edu/~jurafsky/) is an Associate Professor in the Department of Linguistics at Stanford University.
发表于2025-03-03
Speech and Language Processing 2025 pdf epub mobi 电子书
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.
图书标签: NLP 计算机 人工智能 Linguistics 语言学 经典 机器学习 国外
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 text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material.
sep 23, 2018 third edition draft
评分sep 23, 2018 third edition draft
评分已下载电子版
评分sep 23, 2018 third edition draft
评分sep 23, 2018 third edition draft
Speech and Language Processing 2025 pdf epub mobi 电子书