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EMEA-V3

EMEA-V3

EMEA-V3 : European parallel translation corpus from the European Medicines Agency Dataset Summary EMEA-V3 is a parallel corpus for neural machine translation collected and aligned by Tiedemann, Jorg during the OPUS project. Supported Tasks and Leaderboards translation: The dataset can be used to train a model for translation. Languages In our case, the corpora consists of a pair of source and target sentences for all 22 different languages from the… See the full description on the dataset page:

Source: Hugging Face Hub (qanastek/EMEA-V3). Metadata imported from the dataset’s Hub tags.

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