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Genres on the Web : Computational Models and Empirical Studies / edited by Alexander Mehler, Serge Sharoff, Marina Santini.
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Text, speech, and language technology 1386-291X ; 42.
- Text, Speech and Language Technology, 1386-291X ; 42
- Language:
- English
- Subjects (All):
- Natural language processing (Computer science).
- Computational linguistics.
- Natural Language Processing (NLP).
- Computational Linguistics.
- Local Subjects:
- Natural Language Processing (NLP).
- Computational Linguistics.
- Physical Description:
- 1 online resource (XIV, 362 pages).
- Edition:
- First edition 2011.
- Contained In:
- Springer eBooks
- Place of Publication:
- Dordrecht : Springer Netherlands : Imprint: Springer, 2011.
- System Details:
- text file PDF
- 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 Format:
- Printed edition:
- ISBN:
- 978-90-481-9178-9
- 9789048191789
- 9789048191772
- 9789400733725
- 9789048191796
- Access Restriction:
- Restricted for use by site license.
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