SPIN Unprocessed October 22, 2026 ai_technology research
How to Use Parallel Data for Multilingual Pretraining
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arXiv:2610.28838v1 Announce Type: new Abstract: High-quality human-translated parallel corpora can improve cross-lingual transfer, but are typically too small for large-scale pretraining. Machine-translated web corpora help overcome this limitation, making parallel data available at pretraining scale. Standard multilingual pretraining, however, samples source documents and their translations independently, without explicitly using their parallel structure. We investigate how to use the parallel
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