Gervásio PT-* is a foundation, large language model for the Portuguese language. It is a decoder of the GPT family, based on the neural architecture Transformer and developed over the Pythia model, with competitive performance for this language. It has different versions that were trained for ...
RudriCo-POS is a part-of-speech disambiguation tool that performs 188 morphological disambiguation rules.
Hesita-POS is an annotaded corpus. Tv News.
EmoVoicePort, Emotional Vocalization Corpus (see Lima, Castro, & Scott, 2013) is a validated set of nonverbal vocalizations that portray four positive emotions (achievement/triumph, amusement, sensual pleasure, relief) and four negative ones (anger, disgust, fear, sadness). The vocalizations (n =...
Arquivo Dialetal CLUP - POS is a speech corpus with approximately 40 000 tokens (Utterances; spontaneous speech, mainly from Northern Portugal). Orthographic transcription, POS.
CIPM-POS is a set of historical, religious, notarial, literary texts in prose and verse, written is medieval portuguese. It contains around 88000 words.
Arquivo Dialetal CLUP - Áudio is an audio corpus of spontaneous speech, mainly from Northern Portugal.
ViPER is a verb lexical database with +7,000 verb senses, along with their structural, distributional, and transformational properties. The verb senses are classified based on the main syntactic properties of their construction. Around 70 formal classes have been devised. For each verb sense, its...
CINTIL-UPos is a corpus of Portuguese that is annotated with the Universal Part-of-Speech tagset (UPOS), related to the Universal Dependency framework, and that contains around 1 million annotated tokens. It is described in this article: António Branco, João Ricardo Silva, Luís Gomes and Jo...
A collection of language resources for the evaluation of distributional semantic models of Portuguese: LX-SimLex-999: http://metashare.metanet4u.eu/go2/lx-simlex-999 LX-Rare Word Similarity Data set: http://metashare.metanet4u.eu/go2/lx-rare-word-similarity-dataset LX-WordSim-353: h...