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Modelling Etymology in LMF/TEI: The Grande Dicionário Houaiss da Língua Portuguesa Dictionary as a Use Case
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In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02618067 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France ; http://www.lrec-conf.org (2020)
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Abstract:
Due to COVID19 pandemic, the 12th edition is cancelled. The LREC 2020 Proceedings are available at http://www.lrec-conf.org/proceedings/lrec2020/index.html ; 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.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL]; Dictionaries; LMF; Portuguese Language Resources; TEI
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URL: https://hal.inria.fr/hal-02618067/file/Houaiss_LMF_LREC_Submission.pdf https://hal.inria.fr/hal-02618067 https://hal.inria.fr/hal-02618067/document
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Standard-based Lexical Models for Automatically Structured Dictionaries ; Modèles lexicaux standardisés pour les dictionnaires à structure automatique
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In: https://tel.archives-ouvertes.fr/tel-03153438 ; Computation and Language [cs.CL]. Université de Paris, 2020. English (2020)
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Standard-based lexical models for automatically structured dictionnaries ; Modèles lexicaux standardisés pour les dictionnaires à structure automatique
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In: https://tel.archives-ouvertes.fr/tel-03274454 ; Document and Text Processing. Université de Paris, 2020. English. ⟨NNT : 2020UNIP7146⟩ (2020)
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