This tool assigns a part-of-speech tag and base form to each token in a text. It operates on text that has previously been tokenised and morphologically analysed. The POS tagger is a module of Apertium machine translation system. The provided tool can currently operate on a subset of the language...
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...
Multilingual (CEF languages) corpus acquired from website (https://ec.europa.eu/*coronavirus-response) of the EU portal (20th May 2020). It contains 23 TMX files (EN-X, where X is a CEF language) with 53311 TUs in total.
Memoria de traducción Portal oficial de turismo de España www.spain.info
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...
277780 sentence pairs (in 23 EN-X language pairs in total) extracted from the Publications Office of the EU on the medical domain. These are sourced from laws, studies, EC announcements, etc. labelled with concepts like epidemiology, epidemic, disease surveillance, health control, public hygiene,...
Multilingual (CEF languages) corpus acquired from website (https://ec.europa.eu/commission/presscorner/) of the EU portal (8th July 2020). It contains 23 TMX files (EN-X, where X is a CEF language) with 151895 TUs in total.
Multilingual (CEF languages) corpus acquired from website (https://ec.europa.eu/commission/presscorner/) of the EU portal (14th May 2020). It contains 23 TMX files (EN-X, where X is a CEF language) with 83217 TUs in total.
Terms of Research Thesaurus
Text corpus for bilingual concordancing, single- and multi-word translation extraction, machine translation. Languages: cs-pt, de-pt, en-pt, es-pt, fr-pt, it-pt, and pt-sk. Size: 1 G per language (phrases aligned). Domain: Law and Health.