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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... shows frequency , and the y - axis shows some measure of the magnitude of each frequency component ( in decibels ( dB ) , a logarithmic mea- sure of amplitude that we saw earlier ) . Thus , Fig . 7.22 shows significant frequency ...
... shows how to use a Gaussian to compute an acoustic likelihood for a single cepstral feature . Since an acoustic ... shows three different multivariate Gaussians in two dimensions . The leftmost figure shows a Gaussian with a diagonal ...
... show later. The example in Fig. 24.12 shows a form with three fields, for specifying the origin, destination, and flight date of an airline flight. The prologue of the example shows two global defaults for error handling. If the user ...
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Speech and Language Processing: An Introduction to Natural Language ... Daniel Jurafsky,James H. Martin No preview available - 2009 |