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.
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. Letter of rights for persons arrested on the basis of a ...
Luxembourg Museum Websites (de-en) (Processed)
Corpus of mixed language (French, German,Luxemburguish) sentences from {sc Chamber} (House of Parliament) debate reports manually annotated at segment level with 6 labels : Lux, Fre, Ger, Lux + Fre, Lux + Ger, Lux + Fre + Ger
Memoria de traducción Portal oficial de turismo de España www.spain.info
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,...
We publish three novel datasets called N3. N3 will be published using NIF ensuring a greater interoperability to overcome the need for corpus-specific parsers. The data can be downloaded from our project homepage.
Freely available large dataset, manually annotated for German NER. Includes nested span annotations. Source text from German Wikipedia and news. This data set does not contain the test data, which is used for the GermEval 2014 NER task at KONVENS. Test data will be available from September 2014.
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.
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.