The SIMPLE Portuguese Lexicon is constituted by 10,438 entries semantically encoded, accordingly to the parole common encoding standards.
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). ...
This is a wordlist which was created from 32 Maltese fiction books. These texts were originally in PDF file format and were converted to txt format. In the next step, the text file was tokenized and a frequency count was performed on the separate tokens. The resulting list (with about 50,000 entr...
This is an automatically produced distributional thesaurus, which finds words that tend to occur in similar contexts as the target word. It is not a manually constructed thesaurus of synonyms. It was produced by Lexical Computing Ltd on the basis of the MLRS corpus. The file contains lines with...
We are creating a large scale, freely available, semantic dictionary of Mandarin Chinese: the Chinese Open Wordnet, inspired by the Princeton WordNet and the Global WordNet Grid. All relations (hypernyms, meronyms ...) come from Princeton WordNet 3.0. We have enriched the synsets with Chinese lex...
This lexicon includes multiword expressions (MWE) of European Portuguese extracted from a balanced 50,8M word written corpus – a subcorpus of the Reference Corpus of Contemporary Portuguese (CRPC). This corpus covers different genres, being mainly constituted by journalistic texts (59%), but it a...
This set of materials pertains to a study on the production of explicit pronouns, null pronouns, and repeated-NP anaphors, in European Portuguese. A spreadsheet containing data from 73 participants (young adults), namely, count data for instances of the different types of anaphor that occurred in...
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...