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...
This set of materials resulted from a study on the processing of explicit pronouns in European Portuguese. A spreadsheet containing data from 75 participants (young adults), namely, per-word reading times and accuracy data on comprehension questions, is provided. Complementary materials (Read Fir...
This set of materials pertains to a study on the processing of explicit pronouns in European Portuguese. Forty spreadsheets containing Event Related Potentials, encoded as voltage variations across 64 electrodes during 1.5 s, in two millisecond steps, are provided, 20 of which pertain to younger ...
This resource contains model weights for five Transformer-based models: RoBERTa, GPT-2, T5, BART and COMET(BART). These models were implemented using HuggingFace, and fine-tuned on the following four commonsense reasoning tasks: Argument Reasoning Comprehension Task (ARCT), AI2 Reasoning Challen...
A GF resource grammar for Estonian, implementing the language-neutral API of the GF Resource Grammar Library as well as a morphological synthesizer.
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...
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...
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 ...