Las listas de densidad semántica y la lexicografía funcional computacional

Most researches conclude that the best method for building computational lexicons is the automatic analysis of machine-readable dictionaries. All the information needed for NLP lexicons can be found in a dictionary text. We have to decode the information presented by the human lexicographer in order...

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Main Author: José Carlos Periñán Pascual
Format: Article
Language:English
Published: Universidad de La Rioja 2013-07-01
Series:Cuadernos de Investigación Filológica
Online Access:https://publicaciones.unirioja.es/ojs/index.php/cif/article/view/2221
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author José Carlos Periñán Pascual
author_facet José Carlos Periñán Pascual
author_sort José Carlos Periñán Pascual
collection DOAJ
description Most researches conclude that the best method for building computational lexicons is the automatic analysis of machine-readable dictionaries. All the information needed for NLP lexicons can be found in a dictionary text. We have to decode the information presented by the human lexicographer in order to make it accessible in a computational way. In the transduction of a dictionary text into a Functional Grammar format we propose an enriched model of the basic component of S.C. Dik’s theory, the Fund. The meaning postulate associated to each predicative frame will take the form of a semantic density list, which enables the system to create a conceptually-motivated network connecting the predicates of the lexicon. This cognitive structuring of lexicon, also advocated by the Functional-Lexematic Model, is grounded on the Stepwise Lexical Decomposition approach. In this paper we therefore describe the automatic construction of semantic density lists for verbal predicates in Spanish.
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spelling doaj.art-02f43f08fb4341ba92c6eb8ba5d562542022-12-22T00:01:06ZengUniversidad de La RiojaCuadernos de Investigación Filológica0211-05471699-292X2013-07-012608910810.18172/cif.22212209Las listas de densidad semántica y la lexicografía funcional computacionalJosé Carlos Periñán Pascual0Universidad Católica de San AntonioMost researches conclude that the best method for building computational lexicons is the automatic analysis of machine-readable dictionaries. All the information needed for NLP lexicons can be found in a dictionary text. We have to decode the information presented by the human lexicographer in order to make it accessible in a computational way. In the transduction of a dictionary text into a Functional Grammar format we propose an enriched model of the basic component of S.C. Dik’s theory, the Fund. The meaning postulate associated to each predicative frame will take the form of a semantic density list, which enables the system to create a conceptually-motivated network connecting the predicates of the lexicon. This cognitive structuring of lexicon, also advocated by the Functional-Lexematic Model, is grounded on the Stepwise Lexical Decomposition approach. In this paper we therefore describe the automatic construction of semantic density lists for verbal predicates in Spanish.https://publicaciones.unirioja.es/ojs/index.php/cif/article/view/2221
spellingShingle José Carlos Periñán Pascual
Las listas de densidad semántica y la lexicografía funcional computacional
Cuadernos de Investigación Filológica
title Las listas de densidad semántica y la lexicografía funcional computacional
title_full Las listas de densidad semántica y la lexicografía funcional computacional
title_fullStr Las listas de densidad semántica y la lexicografía funcional computacional
title_full_unstemmed Las listas de densidad semántica y la lexicografía funcional computacional
title_short Las listas de densidad semántica y la lexicografía funcional computacional
title_sort las listas de densidad semantica y la lexicografia funcional computacional
url https://publicaciones.unirioja.es/ojs/index.php/cif/article/view/2221
work_keys_str_mv AT josecarlosperinanpascual laslistasdedensidadsemanticaylalexicografiafuncionalcomputacional