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,

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Detalles bibliogr�ficos

T�tulo: Using Large Corpora (ACL-MIT Series in Natural Language Processing).
Editor: Bradford Books
Fecha de publicaci�n: 1994
Idioma: Ingl�s
ISBN 10: 0262510820
ISBN 13: 9780262510820
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: very good

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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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Maurice Wilkes retired from his post at Cambridge University in 1980, when he became a Senior Consulting Engineer at Digital Equipment Corporation in Massachusetts and Adjunct Professor at MIT.

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