Enhancing Portuguese Variety Identification with Cross-Domain Approaches

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Sousa, Hugo, Almeida, Rúben, Silvano, Purificação, Cantante, Inês, Campos, Ricardo, Jorge, Alípio
Formato: Preprint
Publicado: 2025
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866912239015952384
author Sousa, Hugo
Almeida, Rúben
Silvano, Purificação
Cantante, Inês
Campos, Ricardo
Jorge, Alípio
author_facet Sousa, Hugo
Almeida, Rúben
Silvano, Purificação
Cantante, Inês
Campos, Ricardo
Jorge, Alípio
contents Recent advances in natural language processing have raised expectations for generative models to produce coherent text across diverse language varieties. In the particular case of the Portuguese language, the predominance of Brazilian Portuguese corpora online introduces linguistic biases in these models, limiting their applicability outside of Brazil. To address this gap and promote the creation of European Portuguese resources, we developed a cross-domain language variety identifier (LVI) to discriminate between European and Brazilian Portuguese. Motivated by the findings of our literature review, we compiled the PtBrVarId corpus, a cross-domain LVI dataset, and study the effectiveness of transformer-based LVI classifiers for cross-domain scenarios. Although this research focuses on two Portuguese varieties, our contribution can be extended to other varieties and languages. We open source the code, corpus, and models to foster further research in this task.
format Preprint
id arxiv_https___arxiv_org_abs_2502_14394
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Enhancing Portuguese Variety Identification with Cross-Domain Approaches
Sousa, Hugo
Almeida, Rúben
Silvano, Purificação
Cantante, Inês
Campos, Ricardo
Jorge, Alípio
Computation and Language
Recent advances in natural language processing have raised expectations for generative models to produce coherent text across diverse language varieties. In the particular case of the Portuguese language, the predominance of Brazilian Portuguese corpora online introduces linguistic biases in these models, limiting their applicability outside of Brazil. To address this gap and promote the creation of European Portuguese resources, we developed a cross-domain language variety identifier (LVI) to discriminate between European and Brazilian Portuguese. Motivated by the findings of our literature review, we compiled the PtBrVarId corpus, a cross-domain LVI dataset, and study the effectiveness of transformer-based LVI classifiers for cross-domain scenarios. Although this research focuses on two Portuguese varieties, our contribution can be extended to other varieties and languages. We open source the code, corpus, and models to foster further research in this task.
title Enhancing Portuguese Variety Identification with Cross-Domain Approaches
topic Computation and Language
url https://arxiv.org/abs/2502.14394