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

Fahad Khan; Laurent Romary; Ana  Salgado; Jack Bowers; Mohamed Khemakhen; Toma Tasovac

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

Fahad Khan, Laurent Romary, Ana Salgado, Jack Bowers, Mohamed Khemakhen, Toma Tasovac

Centro de Linguística da UNL (CLUNL)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

64 Downloads (Pure)

Abstract

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, andPart 4 (ISO 24613-4), which consists of a TEI serialisation of all of the prior parts of the model. We will demonstrate the useof both standards by describing the LMF encoding of a small number of examples taken from a sample conversion of thereference Portuguese dictionaryGrande Dicion ́ario Houaiss da L ́ıngua Portuguesa, part of a broader experiment comprisingthe analysis of different, heterogeneously encoded, Portuguese lexical resources. We present the examples in the UnifiedModelling Language (UML) and also in a couple of cases in TEI.

Original language	English
Title of host publication	Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)
Editors	Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Place of Publication	Paris
Publisher	European Language Resources Association (ELRA)
Pages	3172–3180
Number of pages	8
Publication status	Published - 2020
Event	Language Resources and Evaluation Conference - Le Palais du Pharo, Marseilles, France Duration: 13 May 2020 → 15 May 2020 Conference number: 12th https://lrec2020.lrec-conf.org/en/

Conference

Conference	Language Resources and Evaluation Conference
Abbreviated title	LREC 2020
Country/Territory	France
City	Marseilles
Period	13/05/20 → 15/05/20
Internet address	https://lrec2020.lrec-conf.org/en/

Keywords

LMF
TEI
Portuguese Language Resources
Dictionaries

Access to Document

Modelling Etymology in LMF/TEIFinal published version, 949 KBLicence: CC BY-NC

http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.388.pdfLicence: CC BY-NC

Cite this

Khan, F., Romary, L., Salgado, A., Bowers, J., Khemakhen, M., & Tasovac, T. (2020). Modelling Etymology in LMF/TEI: The Grande Dicionário Houaiss da Língua Portuguesa Dictionary as a Use Case. In N. Calzolari, F. Béchet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) (pp. 3172–3180). European Language Resources Association (ELRA). http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.388.pdf

Khan, Fahad ; Romary, Laurent ; Salgado, Ana et al. / Modelling Etymology in LMF/TEI : The Grande Dicionário Houaiss da Língua Portuguesa Dictionary as a Use Case. Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). editor / Nicoletta Calzolari ; Frédéric Béchet ; Philippe Blache ; Khalid Choukri ; Christopher Cieri ; Thierry Declerck ; Sara Goggi ; Hitoshi Isahara ; Bente Maegaard ; Joseph Mariani ; Hélène Mazo ; Asuncion Moreno ; Jan Odijk ; Stelios Piperidis. Paris : European Language Resources Association (ELRA), 2020. pp. 3172–3180

@inproceedings{54e10ee8e5eb45c493ad0ee355f333c7,

title = "Modelling Etymology in LMF/TEI: The Grande Dicion{\'a}rio Houaiss da L{\'i}ngua Portuguesa Dictionary as a Use Case",

abstract = "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, andPart 4 (ISO 24613-4), which consists of a TEI serialisation of all of the prior parts of the model. We will demonstrate the useof both standards by describing the LMF encoding of a small number of examples taken from a sample conversion of thereference Portuguese dictionaryGrande Dicion{\' }ario Houaiss da L{\' }ıngua Portuguesa, part of a broader experiment comprisingthe analysis of different, heterogeneously encoded, Portuguese lexical resources. We present the examples in the UnifiedModelling Language (UML) and also in a couple of cases in TEI.",

keywords = "LMF, TEI, Portuguese Language Resources, Dictionaries",

author = "Fahad Khan and Laurent Romary and Ana Salgado and Jack Bowers and Mohamed Khemakhen and Toma Tasovac",

note = "UIDB/00749/2020 UIDP/00749/2020; Language Resources and Evaluation Conference, LREC 2020 ; Conference date: 13-05-2020 Through 15-05-2020",

year = "2020",

language = "English",

pages = "3172–3180",

editor = "Nicoletta Calzolari and Fr{\'e}d{\'e}ric B{\'e}chet and Philippe Blache and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and H{\'e}l{\`e}ne Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis",

booktitle = "Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)",

publisher = "European Language Resources Association (ELRA)",

url = "https://lrec2020.lrec-conf.org/en/",

}

Khan, F, Romary, L, Salgado, A, Bowers, J, Khemakhen, M & Tasovac, T 2020, Modelling Etymology in LMF/TEI: The Grande Dicionário Houaiss da Língua Portuguesa Dictionary as a Use Case. in N Calzolari, F Béchet, P Blache, K Choukri, C Cieri, T Declerck, S Goggi, H Isahara, B Maegaard, J Mariani, H Mazo, A Moreno, J Odijk & S Piperidis (eds), Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). European Language Resources Association (ELRA), Paris, pp. 3172–3180, Language Resources and Evaluation Conference, Marseilles, France, 13/05/20. <http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.388.pdf>

Modelling Etymology in LMF/TEI: The Grande Dicionário Houaiss da Língua Portuguesa Dictionary as a Use Case. / Khan, Fahad; Romary, Laurent; Salgado, Ana et al.
Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). ed. / Nicoletta Calzolari; Frédéric Béchet; Philippe Blache; Khalid Choukri; Christopher Cieri; Thierry Declerck; Sara Goggi; Hitoshi Isahara; Bente Maegaard; Joseph Mariani; Hélène Mazo; Asuncion Moreno; Jan Odijk; Stelios Piperidis. Paris: European Language Resources Association (ELRA), 2020. p. 3172–3180.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modelling Etymology in LMF/TEI

T2 - Language Resources and Evaluation Conference

AU - Khan, Fahad

AU - Romary, Laurent

AU - Salgado, Ana

AU - Bowers, Jack

AU - Khemakhen, Mohamed

AU - Tasovac, Toma

N1 - Conference code: 12th

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N2 - 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, andPart 4 (ISO 24613-4), which consists of a TEI serialisation of all of the prior parts of the model. We will demonstrate the useof both standards by describing the LMF encoding of a small number of examples taken from a sample conversion of thereference Portuguese dictionaryGrande Dicion ́ario Houaiss da L ́ıngua Portuguesa, part of a broader experiment comprisingthe analysis of different, heterogeneously encoded, Portuguese lexical resources. We present the examples in the UnifiedModelling Language (UML) and also in a couple of cases in TEI.

AB - 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, andPart 4 (ISO 24613-4), which consists of a TEI serialisation of all of the prior parts of the model. We will demonstrate the useof both standards by describing the LMF encoding of a small number of examples taken from a sample conversion of thereference Portuguese dictionaryGrande Dicion ́ario Houaiss da L ́ıngua Portuguesa, part of a broader experiment comprisingthe analysis of different, heterogeneously encoded, Portuguese lexical resources. We present the examples in the UnifiedModelling Language (UML) and also in a couple of cases in TEI.

KW - LMF

KW - TEI

KW - Portuguese Language Resources

KW - Dictionaries

UR - https://www.scopus.com/pages/publications/85096566356

M3 - Conference contribution

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EP - 3180

BT - Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)

A2 - Calzolari, Nicoletta

A2 - Béchet, Frédéric

A2 - Blache, Philippe

A2 - Choukri, Khalid

A2 - Cieri, Christopher

A2 - Declerck, Thierry

A2 - Goggi, Sara

A2 - Isahara, Hitoshi

A2 - Maegaard, Bente

A2 - Mariani, Joseph

A2 - Mazo, Hélène

A2 - Moreno, Asuncion

A2 - Odijk, Jan

A2 - Piperidis, Stelios

PB - European Language Resources Association (ELRA)

CY - Paris

Y2 - 13 May 2020 through 15 May 2020

ER -

Khan F, Romary L, Salgado A, Bowers J, Khemakhen M, Tasovac T. Modelling Etymology in LMF/TEI: The Grande Dicionário Houaiss da Língua Portuguesa Dictionary as a Use Case. In Calzolari N, Béchet F, Blache P, Choukri K, Cieri C, Declerck T, Goggi S, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, editors, Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). Paris: European Language Resources Association (ELRA). 2020. p. 3172–3180

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

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Keywords

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