CINTIL-UDep is a dependency bank of Portuguese with 38,400 sentences (and nearly 476,000 tokens), that is treebanked with Universal Dependencies (UD). This version of CINTIL-UDep supersedes the one included in the v2.11 (2022-11-15) release of the Universal Dependencies (https://universaldepende...
This resource contains a pre-trained BERT language model trained on the Portuguese language. A BERT-Base 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 and...
DVPM-SynSem is a lexical database with syntactic and semantic information in Medieval Portuguese. It contains around 3000 verbs.
Grafone-LEX is a lexical database for conversion from graphemes to phonemes
The test set described in was used as the basis for the assessment of word embeddings. An example entry in this data set would read: ‘Berlin Germany Lisbon Portugal’. With these four words relations – as in this example – one can test semantic analogies by using any of the possible combinations o...
The NPChunks training corpus contains approximately 1,000 sentences, in a total of 24,243 tokens, selected randomly from the written part of the CINTIL corpus (Barreto et al, 2006). The CINTIL corpus is a linguistically interpreted corpus of Portuguese composed of 1 Million annotated tokens from ...
The lexicon of discourse markers for European Portuguese contains 252 pairs of discourse marker/rhetorical sense. The lexicon covers conjunctions, prepositions, adverbs, adverbial phrases and alternative lexicalizations with a connective function, as in the PDTB (Prasad et al., 2008; Prasad et al...
ExtraGLUE is a Portuguese dataset obtained by the automatic translation of some of the tasks in the GLUE and SuperGLUE benchmarks. Two variants of Portuguese are considered, namely European Portuguese and American Portuguese. The 14 tasks in extraGLUE cover different aspects of language unders...
The test set described in was used as the basis for the assessment of word embeddings. An example entry in this data set would read: ‘Berlin Germany Lisbon Portugal’. With these four words relations – as in this example – one can test semantic analogies by using any of the possible combinations o...
Arquivo Dialetal CLUP - POS is a speech corpus with approximately 40 000 tokens (Utterances; spontaneous speech, mainly from Northern Portugal). Orthographic transcription, POS.