Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech RecognitionFor undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing.
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.
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From inside the book
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... important models are state machines, rule systems, logic, probabilistic models, and vector-space models. These models, in turn, lend themselves to a small number of algorithms, among the most important of which are state space search ...
... important in predicting prosodic factors like accent; the realization of a phone also depends on its position in the syllable (onset [l] is pronounced differently than coda [l]). In speech recognition, syllabification is useful for ...
... important for information extraction, summarization, and for conversational agents. In fact, it turns out that just about any conceivable language processing application requires methods for determining the denotations of pronouns and ...
Other editions - View all
Speech and Language Processing: An Introduction to Natural Language ... Daniel Jurafsky,James H. Martin No preview available - 2009 |