AttentionApp: An Interactive Tool for Analyzing Transformer Attention Patterns in Portuguese

Ricardo G. Oliveira; Daniela Barreiro Claro

AttentionApp: An Interactive Tool for Analyzing Transformer Attention Patterns in Portuguese

Ricardo G. Oliveira, Daniela Barreiro Claro

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Abstract

This paper presents AttentionApp, an interactive demonstration system designed to support the inspection and linguistic analysis of attention mechanisms in Transformer-based language models for Portuguese. The tool allows users to input sentences in Portuguese and visualize attention distributions across layers and heads, enabling fine-grained qualitative analysis of syntactic and semantic patterns captured by the model. AttentionApp is intended as a research-oriented tool, facilitating exploratory analysis, hypothesis generation, and interpretability studies for Portuguese Natural Language Processing.

Anthology ID:: 2026.propor-2.6
Volume:: Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 2
Month:: April
Year:: 2026
Address:: Salvador, Brazil
Editors:: Marlo Souza, Iria de-Dios-Flores, Diana Santos, Larissa Freitas, Jackson Wilke da Cruz Souza, Eugénio Ribeiro
Venue:: PROPOR
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 18–20
Language:
URL:: https://aclanthology.org/2026.propor-2.6/
DOI:
Bibkey:
Cite (ACL):: Ricardo G. Oliveira and Daniela Barreiro Claro. 2026. AttentionApp: An Interactive Tool for Analyzing Transformer Attention Patterns in Portuguese. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 2, pages 18–20, Salvador, Brazil. Association for Computational Linguistics.
Cite (Informal):: AttentionApp: An Interactive Tool for Analyzing Transformer Attention Patterns in Portuguese (Oliveira & Claro, PROPOR 2026)
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PDF:: https://aclanthology.org/2026.propor-2.6.pdf

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@inproceedings{oliveira-claro-2026-attentionapp,
    title = "{A}ttention{A}pp: An Interactive Tool for Analyzing Transformer Attention Patterns in {P}ortuguese",
    author = "Oliveira, Ricardo G.  and
      Claro, Daniela Barreiro",
    editor = "Souza, Marlo  and
      de-Dios-Flores, Iria  and
      Santos, Diana  and
      Freitas, Larissa  and
      Souza, Jackson Wilke da Cruz  and
      Ribeiro, Eug{\'e}nio",
    booktitle = "Proceedings of the 17th International Conference on Computational Processing of {P}ortuguese ({PROPOR} 2026) - Vol. 2",
    month = apr,
    year = "2026",
    address = "Salvador, Brazil",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.propor-2.6/",
    pages = "18--20",
    ISBN = "979-8-89176-387-6",
    abstract = "This paper presents AttentionApp, an interactive demonstration system designed to support the inspection and linguistic analysis of attention mechanisms in Transformer-based language models for Portuguese. The tool allows users to input sentences in Portuguese and visualize attention distributions across layers and heads, enabling fine-grained qualitative analysis of syntactic and semantic patterns captured by the model. AttentionApp is intended as a research-oriented tool, facilitating exploratory analysis, hypothesis generation, and interpretability studies for Portuguese Natural Language Processing."
}

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%0 Conference Proceedings
%T AttentionApp: An Interactive Tool for Analyzing Transformer Attention Patterns in Portuguese
%A Oliveira, Ricardo G.
%A Claro, Daniela Barreiro
%Y Souza, Marlo
%Y de-Dios-Flores, Iria
%Y Santos, Diana
%Y Freitas, Larissa
%Y Souza, Jackson Wilke da Cruz
%Y Ribeiro, Eugénio
%S Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 2
%D 2026
%8 April
%I Association for Computational Linguistics
%C Salvador, Brazil
%@ 979-8-89176-387-6
%F oliveira-claro-2026-attentionapp
%X This paper presents AttentionApp, an interactive demonstration system designed to support the inspection and linguistic analysis of attention mechanisms in Transformer-based language models for Portuguese. The tool allows users to input sentences in Portuguese and visualize attention distributions across layers and heads, enabling fine-grained qualitative analysis of syntactic and semantic patterns captured by the model. AttentionApp is intended as a research-oriented tool, facilitating exploratory analysis, hypothesis generation, and interpretability studies for Portuguese Natural Language Processing.
%U https://aclanthology.org/2026.propor-2.6/
%P 18-20

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Markdown (Informal)

[AttentionApp: An Interactive Tool for Analyzing Transformer Attention Patterns in Portuguese](https://aclanthology.org/2026.propor-2.6/) (Oliveira & Claro, PROPOR 2026)

AttentionApp: An Interactive Tool for Analyzing Transformer Attention Patterns in Portuguese (Oliveira & Claro, PROPOR 2026)

ACL

Ricardo G. Oliveira and Daniela Barreiro Claro. 2026. AttentionApp: An Interactive Tool for Analyzing Transformer Attention Patterns in Portuguese. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 2, pages 18–20, Salvador, Brazil. Association for Computational Linguistics.