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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... existential quantifier at the head of this sentence instructs us on how to interpret the variable x in the context of ... quantified variable should result in a true formula . This is in marked con- trast to the ⇒ operator , which only ...
... existentially quantified, 559 universally quantified, 559 variable-length N-gram, 113 variables in FOL, 556 variance, 306 variation, sociolinguistic, 229 Vauquois triangle, 867 vector length, 664, 770 vector model, 808 vector ...
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Speech and Language Processing: An Introduction to Natural Language ... Daniel Jurafsky,James H. Martin No preview available - 2009 |