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GLOSS-MT: Controllable Low-Resource Machine Translation with an Editable Dictionary
Adapting a pretrained machine translation (MT) model to new terminology usually requires new parallel data and another round of fine-tuning, which is costly for low-resource languages. We ask whether controllability can be added to MT, and the fine-tuning burden reduced, without degrading the pretra
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