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LegalNLP -- Natural Language Processing methods for the Brazilian Legal Language

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arxiv 2110.15709 v1 pith:NIYUUGNE submitted 2021-10-05 cs.CL cs.LG

Felipe Maia Polo , Gabriel Caiaffa Floriano Mendonça , Kauê Capellato J. Parreira , Lucka Gianvechio , Peterson Cordeiro , Jonathan Batista Ferreira , Leticia Maria Paz de Lima , Antônio Carlos do Amaral Maia
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Renato Vicente
This is my paper · ORCID
classification cs.CLcs.LG
keywords languagebrazilianlegaltoolsmaterialmodelsnaturalprocessing
verification ladder T0 review T1 audit T2 compute T3 formal
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We present and make available pre-trained language models (Phraser, Word2Vec, Doc2Vec, FastText, and BERT) for the Brazilian legal language, a Python package with functions to facilitate their use, and a set of demonstrations/tutorials containing some applications involving them. Given that our material is built upon legal texts coming from several Brazilian courts, this initiative is extremely helpful for the Brazilian legal field, which lacks other open and specific tools and language models. Our main objective is to catalyze the use of natural language processing tools for legal texts analysis by the Brazilian industry, government, and academia, providing the necessary tools and accessible material.

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  1. BLAD: A Historically Contextualized, Multilingual Dataset of Bangladeshi Legal Acts (1799 to 2025)

    cs.CL 2026-07 conditional novelty 7.0 of 10

    BLAD releases 1,484 Bangladeshi legal acts (1799–2025) with structural annotations and historical government context.

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