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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... regression , which lays the groundwork for prediction by using features , and logistic regression , which is our introduction to exponential models . We cover these areas in the next two sections ; readers with a background in ...
... Regression In linear regression , learning consisted of choosing the weights w that minimized the sum - squared error on the training set . In logistic regression we use conditional maxi- mum likelihood estimation . What this means is ...
... regression can be used to classify an observation into one of two classes . But most of the time , the kinds of ... regression can also be defined for such functions with many discrete values . In such cases it is called multinomial ...
Other editions - View all
Speech and Language Processing: An Introduction to Natural Language ... Daniel Jurafsky,James H. Martin No preview available - 2009 |