A quality filter trained only on English labels can select better French, German, and Chinese pretraining data, improving bilingual model performance and cutting the monolingual-bilingual gap to about 1%.
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Assessing the Role of Data Quality in Training Bilingual Language Models
A quality filter trained only on English labels can select better French, German, and Chinese pretraining data, improving bilingual model performance and cutting the monolingual-bilingual gap to about 1%.