CORDIAL-SIN – Syntax-oriented Corpus of Portuguese Dialects

CORDIAL-SIN is a corpus of spoken dialectal European Portuguese developed at Centro de Linguística da Universidade de Lisboa (CLUL). The materials for this corpus were drawn from the recordings of dialect speech collected by the CLUL ATLAS team as fieldwork interviews for linguistic atlases betwe...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
CORDIAL-SIN – Syntax-oriented Corpus of Portuguese Dialects – TreeBank

The CORDIAL-SIN–TreeBank is a collection of 177596 syntactic parse trees of the Syntax-oriented Corpus of Portuguese Dialects. CORDIAL-SIN is a corpus of spoken dialectal European Portuguese, developed at Centro de Linguística da Universidade de Lisboa, that compiles excerpts of spontaneous and s...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
Albertina PT-BR

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...

Resource Type:Language Description
Media Type:Text
Language:Portuguese
Albertina PT-BR No-brWaC

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...

Resource Type:Language Description
Media Type:Text
Language:Portuguese
Albertina PT-BR base

Albertina PT-BR base is a foundation, large language model for American Portuguese from Brazil. 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 of...

Resource Type:Language Description
Media Type:Text
Language:Portuguese
Chancelaria de D. Afonso III: documentos em português

Os documentos em português da Chancelaria de D. Afonso III constituem o primeiro conjunto significativo de textos em português (34 documentos que recobrem um período de 24 anos: 1255 - 1279), sendo apenas a partir de 1279, com D. Dinis (1261-1325), que se inicia o uso sistemático do português co...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
Gervásio PT-PT base

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 ...

Resource Type:Language Description
Media Type:Text
Language:Portuguese
Dicionário de Gentílicos e Topónimos

Dicionário de Gentílicos e Topónimos is a list of pairs of toponyms and demonyms. The toponyms and demonyms included have a morphologically compositional relation between each other. The list contains around 1500 such pairs and additionally provides information on the toponym referent (upper unit...

Resource Type:Lexical / Conceptual
Media Type:Text
Language:Portuguese
BDCamões Corpus - Collection of Portuguese Literary Documents from the Digital Library of Camões I.P. (Part I)

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...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
CRPC Discourse Bank v1.0

The CRPC Discourse Bank is labeled for discourse relations (also referred to as rhetorical relations or coher- ence relations), such as cause and condition, that hold between two spans of text and contribute to ensure the overall cohesion and coherence of the text. The scheme follows the principl...

Resource Type:Corpus
Media Type:Text
Language:Portuguese

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