Foundations of statistical natural language processing
Material type:
TextPublication details: Cambridge, Mass MIT Press 1999Description: xxxvii, 680 pISBN: 0262133601Subject(s): Computational linguisticsDDC classification: 410.285 Summary: Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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Kannur University Central Library Stack | Stack | 410.285 MAN/F (Browse shelf (Opens below)) | Available | 68207 |
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| 410.207 DUB/U Understanding language through humor | 410.285 COR Corpus-based method in language and speech processing ,vol.2 | 410.285 ELA/N Natural language processing | 410.285 MAN/F Foundations of statistical natural language processing | 410.285 WEI/E Essential programming for linguistics | 410.92 ALL/R Roland Barthes | 410.92 BAR/C Chomsky effect : a radical works beyond the ivory tower |
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
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