TY - BOOK ID - 707090 TI - Computational Methods for Corpus Annotation and Analysis PY - 2014 SN - 9401786453 9401786445 PB - Dordrecht : Springer Netherlands : Imprint: Springer, DB - UniCat KW - Corpora (Linguistics) KW - Computational linguistics. KW - Data processing. KW - Automatic language processing KW - Language and languages KW - Language data processing KW - Linguistics KW - Natural language processing (Linguistics) KW - Applied linguistics KW - Cross-language information retrieval KW - Mathematical linguistics KW - Multilingual computing KW - Corpus-based analysis (Linguistics) KW - Corpus linguistics KW - Linguistic analysis (Linguistics) KW - Data processing KW - Applied linguistics. KW - Natural language processing (Computer science). KW - Applied Linguistics. KW - Natural Language Processing (NLP). KW - NLP (Computer science) KW - Artificial intelligence KW - Electronic data processing KW - Human-computer interaction KW - Semantic computing KW - Corpus (Lingüística) KW - Lingüística computacional KW - Lingüística aplicada KW - Processament de la parla KW - Traducció automàtica KW - Lingüística matemàtica KW - Corpus lingüístic KW - Anàlisi lingüística KW - Natural language processing (Computer science) UR - https://www.unicat.be/uniCat?func=search&query=sysid:707090 AB - In 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.  . ER -