Analyzing Language In Restricted Domains


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Analyzing Language in Restricted Domains


Analyzing Language in Restricted Domains

Author: Ralph Grishman

language: en

Publisher: Psychology Press

Release Date: 2014-04-08


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First published in 1986. For most of the authors represented in this collection, the term 'Sublanguage' suggests a subsystem of language that behaves essentially like the whole language, while being limited in reference to a specific subject domain. Argued throughout this title, even if sublanguage grammars can be related to the grammar of the full standard language, sublanguages behave in many ways like autonomous systems. This volume will illustrate that, as such, they take on theoretical interest as microcosms of the whole language. The papers collected in this volume were presented at the Workshop on Sublanguage, held at New York University on January 19-20, 1984.

Analyzing Language in Restricted Domains


Analyzing Language in Restricted Domains

Author: Ralph Grishman

language: en

Publisher: Psychology Press

Release Date: 1986


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First Published in 1986. Routledge is an imprint of Taylor & Francis, an informa company.

Using Large Corpora


Using Large Corpora

Author: Armstrong-Warwick Armstrong

language: en

Publisher: MIT Press

Release Date: 1994


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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. 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.