Corpus Carolina v1.0 Ada

Finger, Marcelo; Paixão de Sousa, Maria Clara; Namiuti, Cristiane; Martins do Monte, Vanessa

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dc.contributor.author	Finger, Marcelo
dc.contributor.author	Paixão de Sousa, Maria Clara
dc.contributor.author	Namiuti, Cristiane
dc.contributor.author	Martins do Monte, Vanessa
dc.coverage.spatial	Brazil
dc.coverage.temporal	1970-2022
dc.date.accessioned	2022-04-04T13:23:00Z
dc.date.available	2022-04-04T13:23:00Z
dc.date.issued	2022-04-04T10:22:59Z
dc.identifier.citation	Marcelo Finger et al. Carolina: a General Corpus of Contemporary Brazilian Portuguese with Provenance and Typology Information. Submitted for publication.
dc.identifier.citation	Mariana L. Sturzeneker et al. Carolina's Methodology: building a large corpus with provenance and typology information. Digital Humanities and Natural Language Processing Workshop – PROPOR 2022.
dc.identifier.uri	https://www5.usp.br/
dc.identifier.uri	http://repositorio.uspdigital.usp.br/handle/item/355
dc.description	Carolina is a general corpus of contemporary Brazilian Portuguese with information on origin and typology. Carolina is an open corpus for Linguistics and Artificial Intelligence with a robust volume of texts of varied typology in contemporary Brazilian Portuguese (1970-2021). The first version of the corpus – 1.0 Ada – totals 653,354,884 million tokens, and is available in open access, for free download for research purposes, since March 8, 2022. Lincensing information may vary from text to text. Please check information at each text/file TEI-xml heading. This version of the corpus contains seven typologies: 1. datasets and other corpora 2. legislative branch 3. social media 4. wikis 5. judicial branch 6. public domain works 7. university domains This collection: datasets and wikis
dc.description.sponsorship	Fapesp
dc.format	zip file
dc.publisher	Center for Artificial Intelligence (C4AI) http://c4ai.inova.usp.br
dc.subject	Contemporary Brazilian Portuguese texts
dc.subject	Corpus Carolina
dc.title	Corpus Carolina v1.0 Ada
dc.type	Dataset
dc.description.sponsorshipId	2019/07665-4