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.
%0 Journal Article
%1 perinan-pascual_dexter_2015
%A Periñán-Pascual, Carlos
%A Mestre-Mestre, Eva
%D 2015
%J Procedia - Social and Behavioral Sciences
%K terminologieextraktion
%P 377--385
%R 10.1016/j.sbspro.2015.07.457
%T DEXTER : automatic extraction of domain-specific glossaries for language teaching
%U http://dx.doi.org/10.1016/j.sbspro.2015.07.457
%V 198
%X 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.
@article{perinan-pascual_dexter_2015,
abstract = {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.},
added-at = {2018-11-04T17:02:36.000+0100},
author = {Periñán-Pascual, Carlos and Mestre-Mestre, Eva},
biburl = {https://www.bibsonomy.org/bibtex/211f1485063792505c0a6a05915060bb0/lepsky},
doi = {10.1016/j.sbspro.2015.07.457},
interhash = {9ae98cf94714597949022292f7540301},
intrahash = {11f1485063792505c0a6a05915060bb0},
issn = {18770428},
journal = {Procedia - Social and Behavioral Sciences},
keywords = {terminologieextraktion},
pages = {377--385},
timestamp = {2018-11-04T17:02:36.000+0100},
title = {{DEXTER} : automatic extraction of domain-specific glossaries for language teaching},
url = {http://dx.doi.org/10.1016/j.sbspro.2015.07.457},
volume = 198,
year = 2015
}