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      A Design Proposal of an Online Corpus-Driven Dictionary of Portuguese for University Students

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      Journal of Portuguese Linguistics

      Ubiquity Press

      academic Portuguese, automated lexicography, corpus, dictionary, tool development

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          Abstract

          The objective of this PhD project was to propose the design of an online corpus-driven dictionary of Portuguese for university students (DOPU), aimed at both speakers of Portuguese as a mother tongue and as an additional language and covering Brazilian and European Portuguese varieties. For that, the highly innovative semi-automated approach to dictionary-making ( Gantar, Kosem and Krek 2016) was adopted, which involves automatic extraction of data from the corpus and import into dictionary writing system. As a method that had never been applied for lexicographical projects of the Portuguese language, it was necessary to experiment the approach for the first time. Thus, all the required pre-requisites were newly developed, namely, a corpus of academic texts, sketch grammar, GDEX configuration, and a specially-tailored procedure for automatic extraction of data. The experiment indicated that not only can this approach be successfully used as a means to provide lexical content for the design of DOPU, but it can also be beneficial to other lexicographical projects of Portuguese.

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          Computational lexicography and lexicology iLEX, a general system for traditional dictionaries on paper and adaptive electronic lexical resources

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            GDEX: automatically finding good dictionary examples in a corpus

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                Author and article information

                Contributors
                Journal
                2397-5563
                Journal of Portuguese Linguistics
                Ubiquity Press
                2397-5563
                29 January 2019
                2019
                : 18
                Affiliations
                [1 ]University of Lisbon, PT
                Article
                10.5334/jpl.209
                Copyright: © 2019 The Author(s)

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.

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