Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/151281
Title: Using open data to create the catalan IATE e-dictionary
Author: Vàzquez, Mercè  
Oliver, Antoni  
Casademont, Elisabet
Citation: Vàzquez, M. [Mercè], Oliver, A. [Antoni] & Casademont, E. [Elisabet]. (2019). Using open data to create the Catalan IATE e-dictionary. Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication, 25(2), 175-197. doi: 10.1075/term.00035.vaz
Abstract: Linguistic resources currently available to the public in the form of open data are an important repository for user consultations and an essential source of information for creating e-dictionaries. However, access to these linguistic resources is still limited because the information is dispersed over different sources and in different formats and is not available in all languages, thereby hindering consultation and automatic recovery. This paper presents a method for maximising use of open access linguistic resources and integrating them into specialised e-dictionaries. The method combines automatic compilation of terminology data with the creation of specialised linguistic corpora to produce a Catalan version of the IATE (InterActive Terminology for Europe) database. The paper presents a new methodological advances applied here to the production of terminological e-dictionaries, using open access linguistic resources. We observe that, for the first time, this new methodology enables economics, law and health dictionaries corresponding to the Catalan versions of the IATE to be created. In conclusion, the new methodology presented here permits the creation of new models of specialised e-dictionaries, facilitates the compilation and consultation of terminology in any language and unifies the access format for terminology data. Future studies will complete the definition and integration of open access linguistic resources that can be included in our methodology.
Keywords: e-dictionaries
lexicography
open data
terminological dictionaries
terminology
natural language processing
DOI: https://doi.org/10.1075/term.00035.vaz
Document type: info:eu-repo/semantics/article
Version: info:eu-repo/semantics/submittedVersion
Issue Date: 26-Nov-2019
Publication license: http://creativecommons.org/licenses/by/3.0/es/  
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Articles cientÍfics

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