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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... set Development test We train the statistical parameters of the model on the training set and then use this trained model to compute probabilities on the test set. This training-and-testing paradigm can also be used to evaluate ...
... testset Dev-test The probabilities in a statistical model like an HMM POS-tagger come from the corpus it is trained on. We saw in Section 4.3 that in order to train statistical models like taggers or N-grams, we need to set aside a training ...
... test set, 153 development test set (dev-test), 92 devset, see development test set (dev-test) DFSA, 32, 41 DFT, 298 Diagnostic Rhyme Test, 281 diagonal covariance matrix, 309 dialogue systems, 1 design, 836 evaluation, 836 diarization ...
Other editions - View all
Speech and Language Processing: An Introduction to Natural Language ... Daniel Jurafsky,James H. Martin No preview available - 2009 |