HERMES-Catalog

Genres on the Web : Computational Models and Empirical Studies / edited by Alexander Mehler, Serge Sharoff, Marina Santini
(Text, Speech and Language Technology. ISSN:1386291X ; 42)

Publisher	Dordrecht : Springer Netherlands : Imprint: Springer
Year	2011
Edition	1st ed. 2011.
Authors	Mehler, Alexander editor Sharoff, Serge editor Santini, Marina editor SpringerLink (Online service)

Links to the text	Location	Volume	Call No.	Barcode No.	Status	Comments	ISBN	Printed	Restriction	Reserve
Links to the text	Library Off-campus access			OB00074149		SpringerLink ebooks - Humanities, Social Sciences and Law (電子ブック)	9789048191789

Material Type	E-Book
Media type	機械可読データファイル
Size	XIV, 362 p : online resource
Notes	The volume “Genres on the Web” has been designed for a wide audience, from the expert to the novice. It is a required book for scholars, researchers and students who want to become acquainted with the latest theoretical, empirical and computational advances in the expanding field of web genre research. The study of web genre is an overarching and interdisciplinary novel area of research that spans from corpus linguistics, computational linguistics, NLP, and text-technology, to web mining, webometrics, social network analysis and information studies. This book gives readers a thorough grounding in the latest research on web genres and emerging document types. The book covers a wide range of web-genre focussed subjects, such as: • The identification of the sources of web genres • Automatic web genre identification • The presentation of structure-oriented models • Empirical case studies One of the driving forces behind genre research is the idea of a genre-sensitive information system, which incorporates genre cues complementing the current keyword-based search and retrieval applications HTTP:URL=https://doi.org/10.1007/978-90-481-9178-9
Subjects	LCSH:Natural language processing (Computer science) LCSH:Computational linguistics FREE:Natural Language Processing (NLP) FREE:Computational Linguistics
Classification	LCC:QA76.9.N38 DC23:006.35
ID	8000019539
ISBN	9789048191789