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100   $a20140306d2014      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aComputational Methods for Corpus Annotation and Analysis /$fby Xiaofei Lu
205   $a1st ed. 2014.
210  1$aDordrecht :$cSpringer Netherlands :$cImprint: Springer,$d2014.
215   $a1 online resource (192 p.)
300   $aDescription based upon print version of record.
311   $a94-017-8644-5 
320   $aIncludes bibliographical references.
327   $aPreface -- Chapter 1 Introduction -- Chapter 2 Text Processing with the Command Line Interface -- Chapter 3 Lexical Annotation -- Chapter 4 Lexical Analysis -- Chapter 5 Syntactic Annotation -- Chapter 6 Syntactic Analysis -- Chapter 7 Semantic, Pragmatic and Discourse Analysis -- Chapter 8 Summary and Outlook -- Appendix.
330   $aIn the past few decades the use of increasingly large text corpora has grown rapidly in language and linguistics research. This was enabled by remarkable strides in natural language processing (NLP) technology, technology that enables computers to automatically and efficiently process, annotate and analyze large amounts of spoken and written text in linguistically and/or pragmatically meaningful ways. It has become more desirable than ever before for language and linguistics researchers who use corpora in their research to gain an adequate understanding of the relevant NLP technology to take full advantage of its capabilities. This volume provides language and linguistics researchers with an accessible introduction to the state-of-the-art NLP technology that facilitates automatic annotation and analysis of large text corpora at both shallow and deep linguistic levels. The book covers a wide range of computational tools for lexical, syntactic, semantic, pragmatic and discourse analysis, together with detailed instructions on how to obtain, install and use each tool in different operating systems and platforms. The book illustrates how NLP technology has been applied in recent corpus-based language studies and suggests effective ways to better integrate such technology in future corpus linguistics research. This book provides language and linguistics researchers with a valuable reference for corpus annotation and analysis.  .
606   $aApplied linguistics
606   $aNatural language processing (Computer science)
606   $aApplied Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N13000
606   $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040
606   $aCorpus (Lingüística)$2thub
606   $aLingüística computacional$2thub
608   $aLlibres electrònics$2thub
615  0$aApplied linguistics.
615  0$aNatural language processing (Computer science)
615 14$aApplied Linguistics.
615 24$aNatural Language Processing (NLP).
615  7$aCorpus (Lingüística)
615  7$aLingüística computacional.
676   $a006.35
700   $aLu$b Xiaofei$4aut$4http://id.loc.gov/vocabulary/relators/aut$01227041
906   $aBOOK
912   $a9910484108103321
996   $aComputational Methods for Corpus Annotation and Analysis$92849138
997   $aUNINA