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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... backtracking strategy such as those used to implement the various finitestate machines in Chapters 2 and 3. A backtracking approach expands 434 Chapter 13. Syntactic Parsing.
... backtracking approach. Backtracking parsers will often build valid trees for portions of the input and then discard them during backtracking, only to find that they have to be rebuilt again. Consider the top-down backtracking process ...
... backtracking in top - down parsing . by storing all the constituents with links that enable the parses to be reconstructed ) . As we mentioned earlier , the three most widely used methods are the Cocke - Kasami- Younger ( CKY ) ...
Other editions - View all
Speech and Language Processing: An Introduction to Natural Language ... Daniel Jurafsky,James H. Martin No preview available - 2009 |