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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... corpus into a train- ing set and a test set. Then we train the two different N-gram models on the training set and see which one better models the test set. But what does it mean to “model the test set”? There is a useful metric for how ...
... ( corpus ) returns transforms - queue INITIALIZE - WITH - MOST - LIKELY - TAGS ( corpus ) until end condition is met do templates - GENERATE - POTENTIAL - RELEVANT - TEMPLATES best - transform - GET - BEST - TRANSFORM ( corpus , templates ) ...
... corpus , the Switchboard corpus , and the Buckeye corpus . The TIMIT corpus ( NIST , 1990 ) was collected as a joint project between Texas In- struments ( TI ) , MIT , and SRI . It is a corpus of 6300 read sentences , with 10 sentences ...
Other editions - View all
Speech and Language Processing: An Introduction to Natural Language ... Daniel Jurafsky,James H. Martin No preview available - 2009 |