HuggingFace (pytorch) pre-trained roBERTa model in Portuguese, with 6 layers and 12 attention-heads, totaling 68M parameters. Pre-training was done on 10 million Portuguese sentences and 10 million English sentences from the Oscar corpus. Please cite: Santos, Rodrigo, João Rodrigues, Antóni...
This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. Complete text of the Portuguese Constitution in Portugue...
This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. Legislation concerning Portuguese Parliament; three bili...
Bilingual (EN-PT) corpus acquired from website (https://ec.europa.eu/*coronavirus-response) of the EU portal (20th May 2020).
Bilingual (EN-PT) corpus acquired from website (https://eur-lex.europa.eu/legal-content) of the EU portal (9th July 2020)
Bilingual (EN-PT) corpus acquired from Wikipedia on health and COVID-19 domain (2nd May 2020)
Bilingual (EN-PT) corpus acquired from the website https://antibiotic.ecdc.europa.eu/
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). ...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies sentences and tokens in plain text. Tools in workflow: Freeling sentence splitter web service (service provided by the PANACEA project), LX-Tokenizer (web service provided by th...
LexMan-POSTagger is a morphological analyser tool that morphologically tags all words. Size: Lemmas verbs: 12 995; Lemmas nouns and adj: 38 180; Lemmas adverbs: 7 250; Compound words: 35 201. Language: Portuguese.