Vers une Étude Onomasiologique du Changement ...
Document type :
Communication dans un congrès avec actes
Title :
Vers une Étude Onomasiologique du Changement Sémantique Lexical via l'Induction de Concepts
Author(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]
Conference title :
5th Workshop on Computational Approaches to Historical Language Change
City :
Bangkok, Thailand
Country :
Thaïlande
Start date of the conference :
2024-08
Book title :
Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change
Publisher :
Association for Computational Linguistics
HAL domain(s) :
Informatique [cs]/Informatique et langage [cs.CL]
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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