Perfil Sociolinguístico da Fala Bracarense - POS is a manually verified part-of-speech annotation of the EXMARaLDA transcriptions in "Perfil Sociolinguístico da Fala Bracarense", a Portuguese speech corpus with 90 hours of recorded spontaneous speech, aligned with its transcription in EXMARaLDA f...
The texts are sentences from the Europarl parallel corpus (Koehn, 2005). The textscontain the monolingual sentences from parallel corpora for the following pairs: Bulgarian-English, Czech-English, Portuguese-English and Spanish- English. The English corpus is comprised by the English side of th...
The PAROLE Portuguese Corpus – tagged subset contains 250.000 tokens and is a subset of the PAROLE Portuguese Corpus of 3 million running words of European Portuguese. The corpus was classified and encoded according to the common core parole encoding standard. The tagged subset reproduces appro...
The LX-Rare Word Similarity Data set was created from Stanford Rare Word (RW) Similarity data set (Luong et al., 2013). This list contains 2 034 words (1 017 pairs of words). All the words were extracted from Wikipedia and from WordNet (Miller, 1995), a lexical database where the concepts are gro...
BDCamões Corpus is a collection of literary documents written in Portuguese, in plain text .txt format, with close to 4 million words from over 200 complete documents from 83 authors in 14 genres, covering a time span from the 15th to the 21st century, and adhering to different orthographic conve...
This tool assigns a part-of-speech tag and base form to each token in a text. It operates on text that has previously been tokenised and morphologically analysed. The POS tagger is a module of Apertium machine translation system. The provided tool can currently operate on a subset of the language...
Portuguese-English parallel from release 7 of the ParaCrawl project, specifically "Broader Web-Scale Provision of Parallel Corpora for European Languages". This version is filtered with BiCleaner with a threshold of 0.5. Data was crawled from the web following robots.txt, as is standard practice....
HuggingFace (pytorch) pre-trained roBERTa model in Portuguese, with 6 layers and 12 attention-heads, totaling 68M parameters. Pre-training was done on 10 million Portuguese sentences and 10 million English sentences from the Oscar corpus. Please cite: Santos, Rodrigo, João Rodrigues, Antóni...
The SIMPLE Portuguese Lexicon is constituted by 10,438 entries semantically encoded, accordingly to the parole common encoding standards.
This resource contains a pre-trained BERT language model trained on the Portuguese language. A BERT-Large cased variant was trained on the BrWaC (Brazilian Web as Corpus), a large Portuguese corpus, for 1,000,000 steps, using whole-word mask. The model is available as artifacts for TensorFlow an...