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.

本书是第一本从各个层面全面介绍语言技术的书，自第1版出版以来，一直好评如潮，被国外许多著名大学选为自然语言处理和计算语言学课程的主要教材。本书将深入的语言分析与健壮的统计方法结合起来，新版更是涉及了大量的现代技术，将自然语言处理、计算语言学以及语音识别等内容融合在一本书中，把各种技术相互联系起来，让读者了解怎样才能最佳地利用每种技术，怎样才能将各种技术结合起来使用。本书写作风格引人入胜，深入技术细节而又不让人感觉枯燥。
本书不仅可以作为高等学校自然语言处理和计算语言学等课程的本科生和研究生教材，对于自然语言处理相关领域的研究人员和技术人员也是不可或缺的权威参考书。

本书稿深入浅出地介绍了国际语言学、语音学和言语技术的基础理论和应用领域。全书共分两大部分：第一部分是关于语言学和语音学的研究，主要介绍了语言学和其他学科的关系/美国主流语言学理论的发展过程和现代语音学研究的理论和方法；第二部分是关于言语工程技术，主要介绍了现代言语工程的理论与技术/语音合成/语音识别和常用的语音信号处理方法及工具。