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.

《国外计算机科学教材系列:统计机器翻译》提供了必要的语言学和概率论基础知识，涵盖了机器翻译的主要模型：基于词的、基于短语的和基于句法树的模型，还介绍了机器翻译评测、语言建模、区分式训练以及整合语言学标注的高级方法。《国外计算机科学教材系列:统计机器翻译》汇总了最新的研究成果和一些尚未解决的挑战，使初学者和经验丰富的研究人员都能够对这一领域有所贡献。这是一本本科生和研究生的理想读本，也适用于任何对机器翻译开发有兴趣的读者。

本书是以本世纪初一项早期藏文识别实验为基础、并融会国内有关汉藏文识别理论和方法编著形成的，其中汉字识别数据和阐述广泛吸收了国内外学者的学术观点和技术论述，藏文识别也详细引用了清华大学和西北民族大学合作的项目成果，因此本书不仅是一本介绍藏文识别的著述，也可兼作藏语文信息处理的科研教学研究参考书。

《高维信息几何与语音分析》共三个部分，第一部分是介绍语音分析的常见研究方法，第二部分是高维信息几何基础知识，它主要介绍了高维信息几何的欧氏空间与高维信息几何线性代数基础理论基本算法，第三部分给出了高维信息几何理论及其算法在语音分析中的实际应用，它主要是提出了高维信息几何点覆盖理论及几何分析方法，对连续语音在高维空间中的种种表现形式加以探讨，给出了语音信息映射到高维空间后的分布概况。

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.