Computational Methods for Corpus Annotation and Analysis / / by Xiaofei Lu

• Autore: Lu Xiaofei
• Pubblicazione: Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2014
• Edizione: 1st ed. 2014.
• Descrizione fisica: 1 online resource (192 p.)
• Disciplina: 006.35
• Soggetto topico: Applied linguistics; Natural language processing (Computer science); Applied Linguistics; Natural Language Processing (NLP); Corpus (Lingüística); Lingüística computacional
• Soggetto genere / forma: Llibres electrònics
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Preface -- 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.
• Sommario/riassunto: 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. .
• Titolo autorizzato: Computational Methods for Corpus Annotation and Analysis
• ISBN: 94-017-8645-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484108103321
• Lo trovi qui: Univ. Federico II