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  • 标题:DEXTER: Automatic Extraction of Domain-Specific Glossaries for Language Teaching
  • 本地全文:下载
  • 作者:Carlos Periñán-Pascual ; Carlos Periñán-Pascual ; Eva M. Mestre-Mestre
  • 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
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