51 citations · 147 across the 23 of their papers we have counts for
3 papers · 1 filter
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?
Zhuoyuan Mao, Chenhui Chu, Raj Dabre +3
Word alignment has proven to benefit many-to-many neural machine translation (NMT). However, high-quality ground-truth bilingual dictionaries were used for pre-editing in previous…
Fusion of Self-supervised Learned Models for MOS Prediction
Zhengdong Yang, Wangjin Zhou, Chenhui Chu +4
We participated in the mean opinion score (MOS) prediction challenge, 2022. This challenge aims to predict MOS scores of synthetic speech on two tracks, the main track and a more c…
Linguistically-driven Multi-task Pre-training for Low-resource Neural Machine Translation
Zhuoyuan Mao, Chenhui Chu, Sadao Kurohashi
In the present study, we propose novel sequence-to-sequence pre-training objectives for low-resource machine translation (NMT): Japanese-specific sequence to sequence (JASS) for la…