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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... Evaluating. N-Grams: Perplexity. Extrinsic evaluation Intrinsic evaluation The best way to evaluate the performance of a language model is to embed it in an application and measure the total performance of the application. Such end-to-end ...
... evaluate a system by extrinsic ( task - based ) or intrinsic ( task - independent ) methods . We described a kind of extrinsic evaluation of multi - document summarization in Section 23.5 , in which subjects were asked to perform time ...
... evaluation of whether the information in the MT output is sufficient to perform some task. For example we can give raters multiple-choice questions about the content of the material in the source sentence or text. The raters answer ...
Other editions - View all
Speech and Language Processing: An Introduction to Natural Language ... Daniel Jurafsky,James H. Martin No preview available - 2009 |