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AbstractPrevious work mainly focuses on improving cross-lingual transfer for NLU tasks with a multilingual pretrained encoder (MPE), or improving the performance on supervised machine translation with BERT. However, it is …...

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DENTRA: Denoising and Translation Pre-training for Multilingual Machine Translation

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Publication: TIPSTER (2022)

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AbstractIn this paper, we describe our submission to the WMT-2022: Large-Scale Machine Translation Evaluation for African Languages under the Constrained Translation track. We introduce DENTRA, a novel pre-training strategy for …...

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Teaching Unseen Low-resource Languages to Large Translation Models

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Publication: TIPSTER (2022)

DOI: nan

AbstractIn recent years, large multilingual pre-trained neural machine translation model research has grown and it is common for these models to be publicly available for usage and fine-tuning. Low-resource languages …...

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