Bilingual (EN-PT) corpus acquired from website (https://ec.europa.eu/commission/presscorner/) of the EU portal (8th July 2020).
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 the website https://antibiotic.ecdc.europa.eu/
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...
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 corpus was run through BiRoamer https://github.com/bitextor/biroamer to anonymise the Portuguese-English parallel data from release 7 of the ParaCrawl project, specifically "Broader Web-Scale Provision of Parallel Corpora for European Languages". This version is filtered with BiCleaner with ...
The EUROPARL Corpus (subpart Portuguese-English of the parallel corpora), available at http://www.statmt.org/europarl/, was extracted from the proceedings of the European Parliament (Koehn, 2005). It contains transcriptions of sessions dating back from 1996 to 2011, in a total of approximately 58...
Portuguese-English parallel from release 7 of the ParaCrawl project, specifically "Broader Web-Scale Provision of Parallel Corpora for European Languages". This version is filtered with BiCleaner with a threshold of 0.5. Data was crawled from the web following robots.txt, as is standard practice....
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...
Technical Description: http://qtleap.eu/wp-content/uploads/2015/05/Pilot1_technical_description.pdf http://qtleap.eu/wp-content/uploads/2015/05/TechnicalDescriptionPilot2_D2.7.pdf http://qtleap.eu/wp-content/uploads/2016/11/TechnicalDescriptionPilot3_D2.10.pdf