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.
Supplements:
Click on the "Resources" tab to View Downloadable Files:
|
From inside the book
Results 1-3 of 87
... estimate probabilities is an example of maximum likelihood estimation or MLE . In MLE , the resulting parameter set maximizes the likelihood of the training set T given the model M ( i.e. , P ( T | M ) ) . For example , suppose the word ...
... estimate of the best - scoring extension of the partial path to the end of the utterance . Coming up with a good estimate of h * is an unsolved and interesting problem . A simple approach is to chose an h * estimate that correlates with ...
... estimate of the Model 1 t parameters , we could compute the probability for each alignment . Then instead of estimating the t probabilities from the ( unknown ) perfect alignment , we would estimate them from each possible alignment and ...
Other editions - View all
Speech and Language Processing: An Introduction to Natural Language ... Daniel Jurafsky,James H. Martin No preview available - 2009 |