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mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus
We additionally train two types of multilingual model to prove the benefits of mOSCAR: (1) a model trained on a subset of mOSCAR and captioning data and (2) a model train on captioning data only.
Towards a Cleaner Document-Oriented Multilingual Crawled Corpus
The need for raw large raw corpora has dramatically increased in recent years with the introduction of transfer learning and semi-supervised learning methods to Natural Language Processing.
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