2021
Modeling Homophone Noise for Robust Neural Machine Translation
ICASSP 2021accepted
In this paper, we propose a robust neural machine translation (NMT) framework to deal with homophone errors. The framework consists of a homophone noise detector and a syllable-aware NMT model. The detector identifies potential homophone errors in a textual sentence and converts them into syllables…