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 Q&A interactions from the real-user scenario (batches 1 and 2). The interactions in this corpus are available in Basque, Bulgar...
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...
The QTLeap corpus is composed by 4000 question and answer pairs in the domain of computer and IT troubleshooting for both hardware and software. This material was collected using a support service via chat, this implies that the corpus is composed by naturally occurring utterances produced by use...
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 from the Swedish Work Environment authori...
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.
Parallel corpora is a set of parallel texts in the domain of Law and Health, with 1 G per language. Languages: cs-pt, de-pt, en-pt, es-pt, fr-pt, it-pt, and pt-sk.
The texts are sentences from the News parallel corpus. The texts contain monolingual sentences from parallel corpora for the following pairs: Basque-English, Bulgarian-English, Czech-English, Portuguese-English and Spanish-English. The English corpus is comprised by the English side of the Spanis...
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,...
This package contains data sets for development and testing of machine translation of medical search short queries between Czech, English, French, and German. The queries come from the general public and from medical experts.
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...