Vers une Étude Onomasiologique du Changement ...
Type de document :
Communication dans un congrès avec actes
Titre :
Vers une Étude Onomasiologique du Changement Sémantique Lexical via l'Induction de Concepts
Auteur(s) :
Liétard, Bastien [Auteur]
Inria Lille - Nord Europe
Machine Learning in Information Networks [MAGNET]
Université de Lille
Keller, Mikaela [Auteur]
Inria Lille - Nord Europe
Machine Learning in Information Networks [MAGNET]
Université de Lille
Denis, Pascal [Auteur]
Inria Lille - Nord Europe
Machine Learning in Information Networks [MAGNET]
Inria Lille - Nord Europe
Machine Learning in Information Networks [MAGNET]
Université de Lille
Keller, Mikaela [Auteur]

Inria Lille - Nord Europe
Machine Learning in Information Networks [MAGNET]
Université de Lille
Denis, Pascal [Auteur]

Inria Lille - Nord Europe
Machine Learning in Information Networks [MAGNET]
Titre de la manifestation scientifique :
5th Workshop on Computational Approaches to Historical Language Change
Ville :
Bangkok, Thailand
Pays :
Thaïlande
Date de début de la manifestation scientifique :
2024-08
Titre de l’ouvrage :
Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change
Éditeur :
Association for Computational Linguistics
Discipline(s) HAL :
Informatique [cs]/Informatique et langage [cs.CL]
Résumé en anglais : [en]
Lexical Semantic Change, the temporal evolution of the mapping between word forms and concepts, can be studied under two complementary perspectives: semasiology studies how given words change in meaning over time, while ...
Lire la suite >Lexical Semantic Change, the temporal evolution of the mapping between word forms and concepts, can be studied under two complementary perspectives: semasiology studies how given words change in meaning over time, while onomasiology focuses on how some concepts change in how they are lexically realized. For the most part, existing NLP studies have taken the semasiological (i.e. word-to-concept) view. In this paper, we describe a novel computational methodology that takes an onomasiological (i.e., concept-to-word) view of semantic change by directly inducing concepts from word occurrences at the different time stamps. We apply our methodology to a French diachronic corpus. We examine the quality of obtained concepts and showcase how the results of our methodology can be used for the study of Lexical Semantic Change. We discuss its advantages and its early limitations.Lire moins >
Lire la suite >Lexical Semantic Change, the temporal evolution of the mapping between word forms and concepts, can be studied under two complementary perspectives: semasiology studies how given words change in meaning over time, while onomasiology focuses on how some concepts change in how they are lexically realized. For the most part, existing NLP studies have taken the semasiological (i.e. word-to-concept) view. In this paper, we describe a novel computational methodology that takes an onomasiological (i.e., concept-to-word) view of semantic change by directly inducing concepts from word occurrences at the different time stamps. We apply our methodology to a French diachronic corpus. We examine the quality of obtained concepts and showcase how the results of our methodology can be used for the study of Lexical Semantic Change. We discuss its advantages and its early limitations.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
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