Genres on the Web: Computational Models and Empirical Studies: Text, Speech and Language Technology, cartea 42
Editat de Alexander Mehler, Serge Sharoff, Marina Santinien Limba Engleză Paperback – dec 2012
The book covers a wide range of web-genre focused 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 ofa genre-sensitive information system, which incorporates genre cues complementing the current keyword-based search and retrieval applications.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 990.95 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – dec 2012 | 990.95 lei 6-8 săpt. | |
Hardback (1) | 997.38 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 9 oct 2010 | 997.38 lei 6-8 săpt. |
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Specificații
ISBN-13: 9789400733725
ISBN-10: 9400733720
Pagini: 376
Ilustrații: XIV, 362 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.53 kg
Ediția:2011
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Text, Speech and Language Technology
Locul publicării:Dordrecht, Netherlands
ISBN-10: 9400733720
Pagini: 376
Ilustrații: XIV, 362 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.53 kg
Ediția:2011
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Text, Speech and Language Technology
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchRecenzii
From the reviews:
“Genres on the Web is an edited volume consisting of fifteen studies which delve into a wide range of topics. … This book is an invaluable resource for corpus and computational linguists, as well as those who specialise in areas such as natural language processing, information retrieval and web data mining. … Overall, Genres on the Web is an impressive collection of scholarly work which is destined to become an important reference for anyone with interests in the language and genres of the Internet.” (Jesse Egbert, Corpora, Vol. 7 (1), 2012)
“Genres on the Web is an edited volume consisting of fifteen studies which delve into a wide range of topics. … This book is an invaluable resource for corpus and computational linguists, as well as those who specialise in areas such as natural language processing, information retrieval and web data mining. … Overall, Genres on the Web is an impressive collection of scholarly work which is destined to become an important reference for anyone with interests in the language and genres of the Internet.” (Jesse Egbert, Corpora, Vol. 7 (1), 2012)
Textul de pe ultima copertă
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.
Caracteristici
The first comprehensive collection in the upcoming, challenging field of natural language processing and information retrieval research Integrates text-technology, corpus linguistics and machine learning Provides a methodological bridge between many related disciplines in the area of text and language technology The wide range of research areas such as computational linguistics, text-technology and data mining will appeal to a broad audience beyond any of these fields in isolation