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...
Multilingual (CEF languages) corpus acquired from the website https://antibiotic.ecdc.europa.eu/ . It contains 20981 TUs (in total) for EN-X language pairs, where X is a CEF language.
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.
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.
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://eur-lex.europa.eu/legal-content) of the EU portal (9th July 2020). It contains 23 TMX files (EN-X, X is a CEF language) with 475,931 translation units pairs in total.
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. EUIPO list of goods and services format: TMX
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 ...
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