文章基本信息

标题：DEXTER: Automatic Extraction of Domain-Specific Glossaries for Language Teaching
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作者：Carlos Periñán-Pascual ; Carlos Periñán-Pascual ; Eva M. Mestre-Mestre 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2015
卷号：198
页码：377-385
DOI：10.1016/j.sbspro.2015.07.457
语种：English
出版社：Elsevier
摘要：AbstractMany researchers emphasize the importance of corpora in the design of Language-for-Specific-Purposes courses in higher education. However, identifying those lexical units which belong to a given specific domain is often a complex task for language teachers, where simple introspection or concordance analysis does not really become effective. The goal of this paper is to describe DEXTER, an open-access platform for data mining and terminology management, whose aim is not only the search, retrieval, exploration and analysis of texts in domain-specific corpora but also the automatic extraction of specialized words from the domain.
关键词：automatic term extraction;corpus;glossary;statistical measure;language for specific purposes;specialized domain;DEXTER