Treebanks and semantic lexicons for Basque, Bulgarian, Dutch, German and Portuguese. Created within European project QTLeap.
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 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. EUIPO list of goods and services format: TMX
Luxembourg Museum Websites (de-en) (Processed)
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)
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...
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
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.
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.