@inproceedings{matos-etal-2024-accent,
title = "Accent Classification is Challenging but Pre-training Helps: a case study with novel {B}razilian {P}ortuguese datasets",
author = "Matos, Ariadne and
Ara{\'u}jo, Gustavo and
Junior, Arnaldo Candido and
Ponti, Moacir",
editor = "Gamallo, Pablo and
Claro, Daniela and
Teixeira, Ant{\'o}nio and
Real, Livy and
Garcia, Marcos and
Oliveira, Hugo Gon{\c{c}}alo and
Amaro, Raquel",
booktitle = "Proceedings of the 16th International Conference on Computational Processing of Portuguese",
month = mar,
year = "2024",
address = "Santiago de Compostela, Galicia/Spain",
publisher = "Association for Computational Lingustics",
url = "https://aclanthology.org/2024.propor-1.37",
pages = "364--373",
}
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%0 Conference Proceedings
%T Accent Classification is Challenging but Pre-training Helps: a case study with novel Brazilian Portuguese datasets
%A Matos, Ariadne
%A Araújo, Gustavo
%A Junior, Arnaldo Candido
%A Ponti, Moacir
%Y Gamallo, Pablo
%Y Claro, Daniela
%Y Teixeira, António
%Y Real, Livy
%Y Garcia, Marcos
%Y Oliveira, Hugo Gonçalo
%Y Amaro, Raquel
%S Proceedings of the 16th International Conference on Computational Processing of Portuguese
%D 2024
%8 March
%I Association for Computational Lingustics
%C Santiago de Compostela, Galicia/Spain
%F matos-etal-2024-accent
%U https://aclanthology.org/2024.propor-1.37
%P 364-373
Markdown (Informal)
[Accent Classification is Challenging but Pre-training Helps: a case study with novel Brazilian Portuguese datasets](https://aclanthology.org/2024.propor-1.37) (Matos et al., PROPOR 2024)
ACL