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010   $a9786612503986
010   $a1-4200-8593-X
024 7 $a10.1201/9781420085938 
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035   $a(EBL)565922
035   $a(OCoLC)696617446
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035   $a(PQKBTitleCode)TC0000400499
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100   $a20180331d2010      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aHandbook of natural language processing /$f[edited by] Nitin Indurkhya and Fred J. Damerau
205   $aSecond edition.
210  1$aBoca Raton :$cTaylor & Francis,$d2010.
215   $a1 online resource (704 p.)
225 1 $aChapman & Hall/CRC machine learning & pattern recognition series
300   $aDescription based upon print version of record.
311   $a1-4200-8592-1 
320   $aIncludes bibliographical references and index.
327   $aFront cover; Contents; List of Figures; List of Tables; Editors; Board of Reviewers; Contirbutors; Preface; Part I: Classical Approaches; Chapter 1. Classical Approaches to Natural Language Processing; Chapter 2. Text Preprocessing; Chapter 3. Lexical Analysis; Chapter 4. Syntactic Parsing; Chapter 5. Semantic Analysis; Chapter 6. Natural Language Generation; Part II: Empirical and Statistical Approaches; Chapter 7. Corpus Creation; Chapter 8. Treebank Annotation; Chapter 9. Fundamental Statistical Techniques; Chapter 10. Part-of-Speech Tagging; Chapter 11. Statistical Parsing
327   $aChapter 12. Multiword ExpressionsChapter 13. Normalized Web Distance and Word Similarity; Chapter 14. Word Sense Disambiguation; Chapter 15. An Overview of Modern Speech Recognition; Chapter 16. Alignment; Chapter 17. Statistical Machine Translation; Part III: Applications; Chapter 18. Chinese Machine Translation; Chapter 19. Information Retrieval; Chapter 20. Question Answering; Chapter 21. Information Extraction; Chapter 22. Report Generation; Chapter 23. Emerging Applications of Natural Language Generation in Information Visualization, Education, and Health Care
327   $aChapter 24. Ontology ConstructionChapter 25. BioNLP: Biomedical Text Mining; Chapter 26. Sentiment Analysis and Subjectivity; Index; Back cover
330   $aProvides a comprehensive, modern reference of practical tools and techniques for implementing natural language processing in computer systems. This title covers classical methods, empirical and statistical techniques, and various applications. It describes how the techniques can be applied to European and Asian languages as well as English.
410  0$aChapman & Hall/CRC machine learning & pattern recognition series.
606   $aNatural language processing (Computer science)$vHandbooks, manuals, etc
615  0$aNatural language processing (Computer science)
676   $a006.3/5
701   $aIndurkhya$b Nitin$0117763
701   $aDamerau$b Frederick J$g(Frederick Jacob),$f1931-$01534234
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910785002603321
996   $aHandbook of natural language processing$93781615
997   $aUNINA