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State-of-the-art machine translation (MT) models do not use knowledge of anysingle language's structure; this is the equivalent of asking someone totranslate from English to German while knowing neither language. BALM is aframework incorporates monolingual priors into an MT pipeline; by casting inputand output languages into embedded space using BERT, we can solve machinetranslation with much simpler models. We find that English-to-Germantranslation on the Multi30k dataset can be solved with a simple feedforwardnetwork under the BALM framework with near-SOTA BLEU scores.

Bilingual is At Least Monolingual (BALM): A Novel Translation Algorithm that Encodes Monolingual Priors