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The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation ...
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LAWDR: Language-Agnostic Weighted Document Representations from Pre-trained Models ...
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Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications ...
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Alternative Input Signals Ease Transfer in Multilingual Machine Translation ...
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Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data ...
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AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages ...
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Multilingual Translation with Extensible Multilingual Pretraining and Finetuning ...
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MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset ...
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Beyond English-Centric Multilingual Machine Translation ...
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Unsupervised Cross-lingual Representation Learning at Scale ...
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WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia ...
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