mlsanityData to 14 Oct 2026

Carolina: a General Corpus of Contemporary Brazilian Portuguese with Provenance, Typology and Versioning Information

arXiv 2303.16098 ↗First posted 28 Mar 2023cs.CL cs.AIcited by 3

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Abstract (arXiv)

This paper presents the first publicly available version of the Carolina Corpus and discusses its future directions. Carolina is a large open corpus of Brazilian Portuguese texts under construction using web-as-corpus methodology enhanced with provenance, typology, versioning, and text integrality. The corpus aims at being used both as a reliable source for research in Linguistics and as an important resource for Computer Science research on language models, contributing towards removing Portuguese from the set of low-resource languages. Here we present the construction of the corpus methodology, comparing it with other existing methodologies, as well as the corpus current state: Carolina's first public version has 653,322,577 tokens, distributed over 7 broad types. Each text is annotated with several different metadata categories in its header, which we developed using TEI annotation standards. We also present ongoing derivative works and invite NLP researchers to contribute with their own.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 5 of its 28 references that are in the map. First posted on arXiv 28 Mar 2023.

Builds on

5 of 28 references.

References · 5

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2019BioBERT: a pre-trained biomedical language representation model for biomedical text miningcited by 1,947
  4. 2019SciBERT: A Pretrained Language Model for Scientific Textcited by 1,414
  5. 2021CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguesecited by 6

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Citing papers per year: 2024: 2; 2025: 0; 2026: 1.

3 papers.