Speech and Language Processing, 2nd Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

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Daniel Jurafsky 作者

Prentice Hall

译者

2008-5-16 出版日期

1024 页数

USD 198.00 价格

Hardcover

丛书系列

9780131873216 图书编码

Speech and Language Processing, 2nd Edition 在线电子书图书标签: NLP 自然语言处理人工智能计算语言学计算机科学数据挖掘计算机 machineLearning

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发表于2025-02-22

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Speech and Language Processing, 2nd Edition 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

Speech and Language Processing, 2nd Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

Speech and Language Processing, 2nd Edition 在线电子书用户评价

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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。

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大而全，但是不怎么深入。

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为了理解HMM特意看了这本书第三版（https://web.stanford.edu/~jurafsky/slp3/）的几章内容，不得不说斯坦福在NLP方面积淀极深，这本综论写的也不错。

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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。

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适合对概念查缺补漏

Speech and Language Processing, 2nd Edition 在线电子书著者简介

Daniel Jurafsky (http://www.stanford.edu/~jurafsky/) is an Associate Professor in the Department of Linguistics at Stanford University.

Speech and Language Processing, 2nd Edition 在线电子书图书目录

Speech and Language Processing, 2nd Edition 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Speech and Language Processing, 2nd Edition 在线电子书图书描述

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.

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