Constant-Time Machine Translation with Conditional Masked Language Models
International Joint Conference on Natural Language Processing, 2019.
Most machine translation systems generate text autoregressively, by sequentially predicting tokens from left to right. We, instead, use a masked language modeling objective to train a model to predict any subset of the target words, conditioned on both the input text and a partially masked target translation. This approach allows for effi...More
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