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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... similar class of models relies on the intuition that upcoming words are semanti- cally similar to preceding words in the text . These models use a measure of semantic word association such as the latent semantic indexing ( Coccaro and ...
... similar they are . • Difference : the more differences between the information in A and B , the less similar they are . Lin measures the commonality between A and B as the information content of the proposition that states the ...
... similar to a human translation. In the field of automatic speech recognition, we define “very similar” by the word error rate, which is the minimum edit distance to a human transcript. But in translation, we don't rely on a single human ...
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Speech and Language Processing: An Introduction to Natural Language ... Daniel Jurafsky,James H. Martin No preview available - 2009 |