Working Around Machine Translation’s Need for Large-Scale Training Data
Unlike some fields in machine learning, machine translation still requires large sets of training data. The solution? Creating more data when none (or not enough) exists.
University of Melbourne
Facebook, Amazon, Twitter Research ‘Blind Spot’ in Modern Machine Translation
New paper by Facebook, Amazon, Twitter, and University of Melbourne examines vulnerability of systems using back translation to attacks on monolingual training data.
And the Winner Is…ACL 2020 Announces Best Paper Awards
Association for Computational Linguistics names Best Research Papers of 2020 from a field of more than 3,000 submissions; paper that argues for retiring BLEU is runner-up.
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