11 citations · 56 across the 15 of their papers we have counts for
4 papers · 1 filter
Isometric MT: Neural Machine Translation for Automatic Dubbing
Surafel M. Lakew, Yogesh Virkar, Prashant Mathur +1
Automatic dubbing (AD) is among the machine translation (MT) use cases where translations should match a given length to allow for synchronicity between source and target speech. F…
Isochrony-Aware Neural Machine Translation for Automatic Dubbing
Derek Tam, Surafel M. Lakew, Yogesh Virkar +2
We introduce the task of isochrony-aware machine translation which aims at generating translations suitable for dubbing. Dubbing of a spoken sentence requires transferring the cont…
Faithful Target Attribute Prediction in Neural Machine Translation
Xing Niu, Georgiana Dinu, Prashant Mathur +1
The training data used in NMT is rarely controlled with respect to specific attributes, such as word casing or gender, which can cause errors in translations. We argue that predict…
Improving Gender Translation Accuracy with Filtered Self-Training
Prafulla Kumar Choubey, Anna Currey, Prashant Mathur +1
Targeted evaluations have found that machine translation systems often output incorrect gender, even when the gender is clear from context. Furthermore, these incorrectly gendered…