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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... probability of an entire sequence of words by multiplying together a number of conditional probabilities . But using the chain rule doesn't really seem to help us ! We don't know any way to compute the exact probability of a word given ...
... probability value that we assign to each class . Could we modify our linear regression model to use it for this kind of probabilistic classification ? Suppose we just tried to train a linear model to predict a probability as follows ...
... probability that E generates F. While we can estimate these probabilities by thinking about how each individual word is translated , modern statistical MT is based on the intuition that a better way to compute these probabilities is by ...
Other editions - View all
Speech and Language Processing: An Introduction to Natural Language ... Daniel Jurafsky,James H. Martin No preview available - 2009 |