Using context variation indexes for the detection of semantic neologisms
Mostra el registre complet Registre parcial de l'ítem
- dc.contributor.author Moset Estruch, Laura
- dc.date.accessioned 2025-03-04T15:21:53Z
- dc.date.available 2025-03-04T15:21:53Z
- dc.date.issued 2024
- dc.description Treball de fi de màster en Lingüística Teòrica i Aplicada. Directores: Dra. Núria Bel, Dra. Judit Freixa
- dc.description.abstract Semantic neologism detection is a complex issue in the field. SNs do not instil a feeling of novelty like formal neologisms because they already exist in the language, their change is only at a semantic level. This difficulty is prevalent when automating the identification process. The literature on the topic defends that the term’s context is the best tool for detection, as the term changes meaning, so do the words it collocates with. This study presents a new method of automatic detection that uses context variation indexes calculated employing diachronic corpora. This approach is much simpler than other state-of-the-art procedures because it depends less on other computational tools and requires less software maintenance. The method is tested on 100 Spanish and Catalan terms. All tests demonstrated consistent performance. The results highlight the importance of term frequency and usage frequency of the neological sense as key factors for its success.
- dc.identifier.uri http://hdl.handle.net/10230/69825
- dc.language.iso eng
- dc.rights Llicència Creative Commons, Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ca
- dc.subject.keyword Semantic neologism
- dc.subject.keyword Automatic detection
- dc.subject.keyword Kullback-Leibler divergence
- dc.subject.keyword Context variation indexes
- dc.title Using context variation indexes for the detection of semantic neologisms
- dc.type info:eu-repo/semantics/masterThesis