Using Large Corpora identifies new data-oriented methods for organizing and analyzing large corpora and describes the potential results that the use of large corpora offers.
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Destinos, gastos y plazos de envíoLibrería: Ammareal, Morangis, Francia
Softcover. Condición: Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 1994. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Edition 1994. Ammareal gives back up to 15% of this item's net price to charity organizations. Nº de ref. del artículo: D-570-802
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Librería: Bellwetherbooks, McKeesport, PA, Estados Unidos de America
Paperback. Condición: Very Good. 1st MIT Press ed. Very Good Condition- May show some limited signs of wear and may have a black line or red dot on edge of pages. Pages and dust cover are intact and not marred by notes or highlighting. Nº de ref. del artículo: MIT-PB-VG-M-0262510820
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Librería: MB Books, Derbyshire, Reino Unido
Hardcover. Condición: Good. No Jacket. Condition : Good. Ex university library with associated markings. Hard cover (library boards), no jacket. 349pp. No highlighting or annotations. Photo on request. Nº de ref. del artículo: 944011
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Librería: Kloof Booksellers & Scientia Verlag, Amsterdam, Holanda
Condición: very good. Cambridge, MA: The MIT Press, 1994. Paperback. 359 pp.(ACL-MIT Series in Natural Language Processing). -Today, large corpora consisting of hundreds of millions or even billions of words, along with new empirical and statistical methods for organizing and analyzing these data, promise new insights into the use of language. Already, the data extracted from these large corpora reveal that language use is more flexible and complex than most rule-based systems have tried to account for, providing a basis for progress in the performance of Natural Language Processing systems. Using Large Corpora identifies these new data-oriented methods and describes the potential results that the use of large corpora offers.The research described shows that the new methods may offer solutions to key issues of acquisition (automatically identifying and coding information), coverage (accounting for all of the phenomena in a given domain), robustness (accommodating "real data" that may be corrupt or not accounted for in the model), and extensibility (applying the model and data to a new domain, text, or problem). There are chapters on lexical issues, issues in syntax, and translation topics, as well discussions of the "statistics-based" vs. "rule-based" debate.ACL-MIT Series in Natural Language ProcessingEnglish text. Condition : very good. Condition : very good copy. ISBN 9780262510820. Keywords : LINGUISTICS, Nº de ref. del artículo: 43193
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Librería: Buchpark, Trebbin, Alemania
Condición: Sehr gut. Zustand: Sehr gut | Seiten: 360 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 1353312/202
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Librería: Chequamegon Books, Washburn, WI, Estados Unidos de America
Paperback. Condición: Very Good. 349 pages. This book describes methods for "organizing and analyzing" large corpora of data, how this reveals insight into the flexibility of language use, and the "potential results that the use of large corpora offers." This is an ex-library book with the usual markings and a pocket inside the rear cover. Cover corners turning up a little. ; 7 x 10". Nº de ref. del artículo: 92305
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Librería: Midtown Scholar Bookstore, Harrisburg, PA, Estados Unidos de America
Paperback. Condición: Very Good. Very Good paperback with light shelfwear - NICE! Standard-sized. Nº de ref. del artículo: mon0000063171
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Librería: Sutton Books, Norwich, VT, Estados Unidos de America
Soft cover. Condición: As New. Pbk 349pp small 4to illustr tables and diagrams an unread copy excellent clean tight unmarked as new. Nº de ref. del artículo: Lin316-B
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Librería: dsmbooks, Liverpool, Reino Unido
paperback. Condición: Very Good. Very Good. book. Nº de ref. del artículo: D7S9-1-M-0262510820-6
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