Exploration de mégadonnées et analyses comparatives à travers le lexique sur la relation entre la complexité des syllabes et l'accentuation des mots

Auteurs

  • Amanda Post da Silveira Federal University of Jataí, Brazil

Résumé

Pendant environ quatre décennies, les théories phonologiques ont affirmé que l’affectation de l’accentuation des mots dépend de la complexité de la structure syllabique du mot par rapport à la position syllabique. Cette étude analyse les implications de la structure syllabique pour l’accentuation des mots dans trois langues à accent lexical sensible au poids, à savoir le portugais brésilien, l’anglais britannique et l’anglais américain. Après avoir créé trois corpus et appliqué la modélisation Random Forest, les distributions de structure syllabique pour l’accentuation des mots se sont avérées liées au modèle d’accentuation et à la longueur du mot en nombre de syllabes. Pour tenir compte de ces observations, les modèles de dénomination des mots doivent être étendus aux aspects de l’accentuation des mots.

Mots-clés

linguistique de corpus , structure syllabique , accentuation des mots , big data , Forêts de décision aléatoire

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Publiée

28-12-2023

Comment citer

Post da Silveira, A. (2023). Exploration de mégadonnées et analyses comparatives à travers le lexique sur la relation entre la complexité des syllabes et l’accentuation des mots. Langues & Parole, 8, 149–177. https://doi.org/10.5565/rev/languesparole.132

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