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cs.CL2022
The Implicit Length Bias of Label Smoothing on Beam Search Decoding
Bowen Liang, Pidong Wang, Yuan Cao
Label smoothing is ubiquitously applied in Neural Machine Translation (NMT) training. While label smoothing offers a desired regularization effect during model training, in this pa…
cs.CL2022
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation
Yong Cheng, Ankur Bapna, Orhan Firat +3
Multilingual neural machine translation models are trained to maximize the likelihood of a mix of examples drawn from multiple language pairs. The dominant inductive bias applied t…