PS corpus (Post-Scriptum) - treebank is a treebank corpus of 586 informal mail letters written in Portuguese and Spanish during the Modern Ages (from the XVIth century to the beginning of the XIXth century). This treebank is a syntactically annotated subset of the Portuguese "PS corpus (Post-S...
LX-DSemVectors is distributional lexical semantics model, also known as word embeddings, for Portuguese (Rodrigues et al., 2016). This version, 2.2b, was trained on a corpus of 2 billion tokens and achieved state-of-the-art results on multiple lexical semantic tasks (Rodrigues & Branco, 2018). ...
Grafone-Tool is a tool for conversion from grapheme to phoneme for European Portuguese. The converter works with the Portuguese spelling, both prior to and after the Orthographic Agreement of 1990.
Albertina PT-BR base is a foundation, large language model for American Portuguese from Brazil. It is an encoder of the BERT family, based on the neural architecture Transformer and developed over the DeBERTa model, with most competitive performance for this language. It is distributed free of...
Albertina PT-* is a foundation, large language model for the Portuguese language. It is an encoder of the BERT family, based on the neural architecture Transformer and developed over the DeBERTa model, and with most competitive performance for this language. It has different versions that were...
Albertina PT-PT base is a foundation, large language model for European Portuguese from Portugal. It is an encoder of the BERT family, based on the neural architecture Transformer and developed over the DeBERTa model, with most competitive performance for this language. It is distributed free ...
The Portuguese Parliamentary Corpus is part of the Mutlilingual ParlaMint Corpus, a set of comparable corpora containing transcriptions of parliamentary debates of 29 European countries and autonomous regions. The Portuguese corpus (ParlaMint-PT) comprehends transcripts of sessions in the time pe...
The Brands.Br corpus was built from a fraction of B2W-Reviews01 corpus. We use a set of 252 samples selected by B2W to be enriched. In Brands.Br corpus we want to solve two main challenges in product reviews corpus. The first: it is very common to find customer reviews referring to distinct thing...