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Publication . Article . 2020

Modelling Etymology in LMF/TEI: The Grande Dicionário Houaiss da Língua Portuguesa Dictionary as a Use Case

Khan, Fahad; Romary, Laurent; Salgado, Ana; Bowers, Jack; Khemakhem, Mohamed; Tasovac, Toma;
Open Access
Published: 11 May 2020
Publisher: HAL CCSD
Country: France

Due to COVID19 pandemic, the 12th edition is cancelled. The LREC 2020 Proceedings are available at; International audience; In this article, we will introduce two of the new parts of the new multi-part version of the Lexical Markup Framework (LMF) ISO standard, namely Part 3 of the standard (ISO 24613-3), which deals with etymological and diachronic data, and Part 4 (ISO 24613-4), which consists of a TEI serialisation of all of the prior parts of the model. We will demonstrate the use of both standards by describing the LMF encoding of a small number of examples taken from a sample conversion of the reference Portuguese dictionary Grande Dicionário Houaiss da Língua Portuguesa, part of a broader experiment comprising the analysis of different, heterogeneously encoded, Portuguese lexical resources. We present the examples in the Unified Modelling Language (UML) and also in a couple of cases in TEI.


LMF, TEI, Portuguese Language Resources, Dictionaries, [INFO.INFO-DL] Computer Science [cs]/Digital Libraries [cs.DL], [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], WP1, WP5, strategies, tools, standards for lexicographic resources (objective 3), access to data and tools (objective 4), opennesse in lexicography (objective 5), [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], LMF, TEI, Portuguese Language Resources, Dictionaries

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Funded by
European Lexicographic Infrastructure
  • Funder: European Commission (EC)
  • Project Code: 731015
  • Funding stream: H2020 | RIA
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Article . Conference object . 2021
Data sources: ZENODO; Sygma