@inproceedings{nunes-etal-2026-propor,
title = "The {PROPOR} Ecosystem: Structure, Roles, and Evolution of {P}ortuguese-Language {NLP}",
author = "Nunes, Rafael O. and
Tamiosso, Gustavo L. and
Andrade, Pedro L. C. de and
Aguiar, Matheus S. de and
Gouveia, Rafael P. de and
Moreira, Higor and
Tavares, Bruno and
Gouveia, Laura P. de and
Paula, Felipe S. F. and
Spritzer, Andre and
Albuquerque, Hidelberg O. and
Silva, N{\'a}dia F. F. da and
Pereira, Ellen P. R. S. and
Balreira, Dennis G. and
Carbonera, Joel L.",
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. 1",
month = apr,
year = "2026",
address = "Salvador, Brazil",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.propor-1.34/",
pages = "342--350",
ISBN = "979-8-89176-387-6",
abstract = "The PROPOR conference has been the main venue for Portuguese language Natural Language Processing (NLP) research for over two decades. This paper presents a longitudinal bibliometric analysis of PROPOR from 2003 to 2024, examining thematic evolution, community structure, and scientific impact. We identify a shift from speech-oriented research toward text-based tasks, alongside the sustained importance of resources and linguistic theory. The community exhibits a stable structure, with complementary leadership models centered on institutional hubs and brokerage roles. Scientific impact is highly concentrated, following a long tail distribution, and distinguishes between cumulative productivity-driven impact and rapidly accelerating citation uptake in recent editions. These findings characterize PROPOR as a resilient regional linguistic ecosystem evolving in dialogue with broader NLP paradigms."
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%0 Conference Proceedings
%T The PROPOR Ecosystem: Structure, Roles, and Evolution of Portuguese-Language NLP
%A Nunes, Rafael O.
%A Tamiosso, Gustavo L.
%A Andrade, Pedro L. C. de
%A Aguiar, Matheus S. de
%A Gouveia, Rafael P. de
%A Moreira, Higor
%A Tavares, Bruno
%A Gouveia, Laura P. de
%A Paula, Felipe S. F.
%A Spritzer, Andre
%A Albuquerque, Hidelberg O.
%A Silva, Nádia F. F. da
%A Pereira, Ellen P. R. S.
%A Balreira, Dennis G.
%A Carbonera, Joel L.
%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. 1
%D 2026
%8 April
%I Association for Computational Linguistics
%C Salvador, Brazil
%@ 979-8-89176-387-6
%F nunes-etal-2026-propor
%X The PROPOR conference has been the main venue for Portuguese language Natural Language Processing (NLP) research for over two decades. This paper presents a longitudinal bibliometric analysis of PROPOR from 2003 to 2024, examining thematic evolution, community structure, and scientific impact. We identify a shift from speech-oriented research toward text-based tasks, alongside the sustained importance of resources and linguistic theory. The community exhibits a stable structure, with complementary leadership models centered on institutional hubs and brokerage roles. Scientific impact is highly concentrated, following a long tail distribution, and distinguishes between cumulative productivity-driven impact and rapidly accelerating citation uptake in recent editions. These findings characterize PROPOR as a resilient regional linguistic ecosystem evolving in dialogue with broader NLP paradigms.
%U https://aclanthology.org/2026.propor-1.34/
%P 342-350
Markdown (Informal)
[The PROPOR Ecosystem: Structure, Roles, and Evolution of Portuguese-Language NLP](https://aclanthology.org/2026.propor-1.34/) (Nunes et al., PROPOR 2026)
ACL
- Rafael O. Nunes, Gustavo L. Tamiosso, Pedro L. C. de Andrade, Matheus S. de Aguiar, Rafael P. de Gouveia, Higor Moreira, Bruno Tavares, Laura P. de Gouveia, Felipe S. F. Paula, Andre Spritzer, Hidelberg O. Albuquerque, Nádia F. F. da Silva, Ellen P. R. S. Pereira, Dennis G. Balreira, and Joel L. Carbonera. 2026. The PROPOR Ecosystem: Structure, Roles, and Evolution of Portuguese-Language NLP. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1, pages 342–350, Salvador, Brazil. Association for Computational Linguistics.