English

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

Computation and Language 2019-09-04 v1 Machine Learning

Abstract

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

Keywords

Cite

@article{arxiv.1909.01146,
  title  = {Bilingual is At Least Monolingual (BALM): A Novel Translation Algorithm that Encodes Monolingual Priors},
  author = {Jeffrey Cheng and Chris Callison-Burch},
  journal= {arXiv preprint arXiv:1909.01146},
  year   = {2019}
}

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15 pages