DEXTER: Automatic Extraction of Domain-Specific Glossaries for Language Teaching

被引:4
|
作者
Perinan-Pascual, Carlos [1 ]
Mestre-Mestre, Eva M. [1 ]
机构
[1] Univ Politecn Valencia, Appl Linguist Dept, Paranimf 1, Gandia 46730, Valencia, Spain
关键词
automatic term extraction; corpus; glossary; statistical measure; language for specific purposes; specialized domain; DEXTER;
D O I
10.1016/j.sbspro.2015.07.457
中图分类号
H0 [语言学];
学科分类号
030303 ; 0501 ; 050102 ;
摘要
Many 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. (C) 2015 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:377 / 385
页数:9
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