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. Croatian-English corpus with studies on the challenges t...
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. Greek laws, ratification of International Conventions ag...
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. The dataset is a 274K-token Polish-English parallel reso...
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. This is a parallel corpus of bilingual texts crawled 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. Croatian-English corpus with Acts on Biological and Land...
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. Contents of http://casopis-gradjevinar.hr were crawled, ...
The Brands.Br corpus was built from a fraction of B2W-Reviews01 corpus. We use a set of 252 samples selected by B2W to be enriched. In Brands.Br corpus we want to solve two main challenges in product reviews corpus. The first: it is very common to find customer reviews referring to distinct thing...
Corpus of raw and manual post-edited translations (50.204 words). It was created by manual post-editing of the Basque outputs given by Matxin RBMT system translating 100 entries from the Spanish Wikipedia.
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.