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.
This corpus is a sample extracted from the corpus made available by the annual workshops/conferences on Statistical Machine Translation (WMT, see \url{http://www.statmt.org/}) from the News domain. To this end, 1104 English sentences and their corresponding human translations into Czech, German a...
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. Parallel texts, email templates and forms in pdf file fo...
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. Parallel texts, all in pdf files, have been gathered fro...
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. Same as part 1, but with the Readme-file. (Processed)
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.
XGLUE is a new benchmark dataset to evaluate the performance of cross-lingual pre-trained models with respect to cross-lingual natural language understanding and generation. XGLUE is composed of 11 tasks spans 19 languages. For each task, the training data is only available in English. This me...
This package contains the collection of tweets described in the LREC 2018 paper: "Collecting Code-Switched Data from Social Media", Gideon Mendels, Victor Soto, Aaron Jaech and Julia Hirschberg, LREC 2018. Please remember to cite this paper if you use this resource. The tagged_tweets_ids file con...
The texts are sentences from the Europarl parallel corpus (Koehn, 2005). The textscontain the monolingual sentences from parallel corpora for the following pairs: Bulgarian-English, Czech-English, Portuguese-English and Spanish- English. The English corpus is comprised by the English side of th...
Europarl QTLeap WSD/NED corpus This corpora is part of Deliverable 5.5 of the European Commission project QTLeap FP7-ICT-2013.4.1-610516 (http://qtleap.eu). The texts are sentences from the Europarl parallel corpus (Koehn, 2005). We selected the monolingual sentences from parallel corpora ...