Resource InteroperabilityExploiting Lexicographic Data to Automatically Generate Dictionary Examples

  1. María José Domínguez Vázquez 1
  2. Miguel Anxo Solla Portela 2
  3. Carlos Valcárcel Riveiro 3
  1. 1 Department of English and German Philology and Galician Language Institute, University of Santiago de Compostela
  2. 2 Department of English and German Philology, University of Santiago de Compostela
  3. 3 Department of English, French and German Philology, University of Vigo
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Livre:
Electronic lexicography in the 21st century. Proceedings of the eLex 2019 conference. 1-3 October 2019, Sintra, Portugal
  1. Iztok Kosem (ed. lit.)
  2. Tanara Zingano Kuhn (ed. lit.)
  3. Margarita Correia (ed. lit.)
  4. José Pedro Ferreira (ed. lit.)
  5. Maarten Jansen (ed. lit.)
  6. Isabel Pereira (ed. lit.)
  7. Jelena Kallas (ed. lit.)
  8. Miloš Jakubíček (ed. lit.)
  9. Simon Krek (ed. lit.)
  10. Carole Tiberius (ed. lit.)

Éditorial: Lexical Computing

Année de publication: 2019

Pages: 51-71

Congreso: eLEX : Electronic lexicography in the 21st century (6. 2019. Sintra)

Type: Communication dans un congrès

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Résumé

This paper describes the different design and development stages of the MultiGenera and MultiComb prototypes for the multilingual automatic generation of dictionary examples that contain nominal argument patterns at the phrasal and sentence levels. The main objective of MultiGenera is the development of a simulator for the automatic generation of phrases in Spanish, German and French, which is based on the argument patterns of ten valency nouns. The second one, MultiComb, aims to automatically generate the phrasal and sentence contexts of the previously selected nouns in MultiGenera. In the present study we focus on the description of resource interoperability and a set of tools developed to support the methodology of both projects.

La source de données: Dialnet