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E-BOOK
Title Genres on the web [electronic resource] : computational models and empirical studies / edited by Alexander Mehler, Serge Sharoff, and Marina Santini.
Imprint Dordrecht : Springer Science+Business Media B.V., 2011.
Dordrecht Springer Netherlands Imprint: Springer, 2011.

Copies/Volumes

LOCATION CALL # STATUS
 Internet  Electronic Book    AVAILABLE
Description 1 online resource (xiv, 362 pages) : illustrations.
Series Text, Speech and Language Technology, 1386-291X ; 42
Text, speech, and language technology ; 42. 1386-291X
Note Description based upon print version of record.
Bibliog. Includes bibliographical references and index.
Note Available only to authorized UTEP users.
Mode of access: World Wide Web.
English.
Subject Computer science.
Translators (Computer programs)
Computational linguistics.
Classification -- Nonbook materials.
Computational linguistics -- Methodology.
Contents Pt. 1. Introduction -- pt. 2. Identifying the source of web genres -- pt. 3. Automatic web genre identification -- pt. 4. Structure-oriented models of web genre -- pt. 5. Case studies of web genres -- pt. 6. Prospect.
Summary 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.
Other Author Mehler, Alexander, 1967-
Sharoff, Serge.
Santini, Marina.
Other Title Text, Speech and Language Technology 1386-291X
Print version Genres on the web. Dordrecht : Springer, 2011