Using Large Corpora

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Susan Armstrong
MIT Press, 1994 - Business & Economics - 349 pages
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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 Processing

  

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Contents

Introduction to the Special Issue Kenneth W Church and Robert
1
Generalized Probabilistic LR Ted Briscoe and John Carroll
25
Accurate Methods for the Ted Dunning
61
A Program for Aligning William A Gale and Kenneth
75
Structural Ambiguity and Lexical Donald Hindle and Mats Rooth
103
TextTranslation Alignment Martin Kay and Martin Roscheisen
121
Retrieving Collocations from Frank Smadja
143
Using RegisterDiversified Douglas Biber
179
Michael R Brent
203
The Mathematics of Statistical Peter F Brown Stephen A Della Pietra
223
Building a Large Annotated Mitchell P Marcus Beatrice Santorini
273
Lexical Semantic Techniques for James Pustejovsky Sabine Bergler
291
Coping with Ambiguity and Ralph Weischedel Marie Meteer Richard
319
Index
343
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