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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... labeled training set in which each token has been labeled with its NSW category; one such hand-labeled database was produced by Sproat et al. (2001). Given the labeled training set, we can apply any supervised machine learning algorithm ...
... labeled , gold - reference parse . PARSEVAL thus assumes we have a human - labeled " gold standard " parse tree for each sentence in the test set ; we generally draw these gold - standard parses from a treebank like the Penn Treebank ...
... labeled test set with a set labeled by our unsupervised classifier . One way of doing this mapping is to map each sense cluster to a predefined sense by choosing the sense that ( in some training set ) has the most word tokens ...
Other editions - View all
Speech and Language Processing: An Introduction to Natural Language ... Daniel Jurafsky,James H. Martin No preview available - 2009 |