Speech and language processing: International edition (2^nd Ed.)

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.

Introduction. Part I Words. Regular Expressions and Automata. Words and Transducers. N-grams. Part-of-Speech Tagging. Hidden Markov and Maximum Entropy Models. Part II. Speech. Phonetics. Speech Synthesis. Automatic Speech Recognition. Speech Recognition: Advanced Topics. Computational Phonology. Part III. Syntax. Formal Grammars of English. Syntactic Parsing. Statistical Parsing. Features and Unification. Language and Complexity. Part IV. Semantics and Pragmatics. The Representation of Meaning. Computational Semantics. Lexical Semantics. Computational Lexical Semantics. Computational Discourse. Part V. Applications. Information Extraction. Question Answering and Summarization. Dialogue and Conversational Agents. Machine Translation.