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English Information

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Authors
# Name
1 Arthur Lins Wolmer(alw@cesar.school)
2 Diego de Freitas Bezerra(dfb2@cesar.school)

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Reference
# Reference
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2 CPDOC. Dicionário histórico-biográfico da primeira república. imigração, 2000. Available at: https://cpdoc.fgv.br/sites/default/files/verbetes/primeira-republica/IMIGRA%C3% 87%C3%83O.pdf. Accessed on June 4, 2025.
3 Heringer, R. Affirmative action policies in higher education in brazil: outcomes and future chal- lenges. Social Sciences 13 (3): 132, 2024.
4 IBGE. Brasil: 500 anos de povoamento. IBGE, 2007.
5 IBGE. Características étnico-raciais da população : um estudo das categorias de classificação de cor ou raça : 2008. IBGE, 2011.
6 Jauhiainen, T., Lui, M., Zampieri, M., Baldwin, T., and Lindén, K. Automatic language identification in texts: A survey. Journal of Artificial Intelligence Research vol. 65, pp. 675–782, 2019.
7 Monasterio, L. M. Sobrenomes e ancestralidade no brasil. Tech. rep., Instituto de Pesquisa Econômica Aplicada (Ipea), 2016.
8 Nelson, J. R. and Shekaramiz, M. Authorship verification via linear correlation methods of n- gram and syntax metrics. In 2022 Intermountain Engineering, Technology and Computing (IETC). IEEE, pp. 1–6, 2022.
9 Ribeiro, C. A. C. and Carvalhaes, F. Research on social stratification in brazil. Sociology Compass 18 (9): e13266, 2024.
10 Schwartzmann, S. Fora de foco: diversidade e identidades étnicas no brasil. Novos Estudos CE- BRAP vol. 55, pp. 83–96, 1999.
11 Tromp, E. and Pechenizkiy, M. Graph-based n-gram language identification on short texts. In Proc. 20th Machine Learning conference of Belgium and The Netherlands. sn, pp. 27–34, 2011.
12 Vogel, J. and Tresner-Kirsch, D. Robust language identification in short, noisy texts: Improve- ments to liga. In Proceedings of the 3rd international Workshop on Mining Ubiquitous and Social Environments. pp. 43–50, 2012.