13 citations · 55 across the 48 of their papers we have counts for
7 papers · 1 filter
WeChat Neural Machine Translation Systems for WMT21
Xianfeng Zeng, Yijin Liu, Ernan Li +5
This paper introduces WeChat AI's participation in WMT 2021 shared news translation task on English->Chinese, English->Japanese, Japanese->English and English->German. Our systems…
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
Yunlong Liang, Chulun Zhou, Fandong Meng +4
Neural Chat Translation (NCT) aims to translate conversational text between speakers of different languages. Despite the promising performance of sentence-level and context-aware n…
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation
Yijin Liu, Fandong Meng, Yufeng Chen +2
Scheduled sampling is widely used to mitigate the exposure bias problem for neural machine translation. Its core motivation is to simulate the inference scene during training by re…
Modeling Bilingual Conversational Characteristics for Neural Chat Translation
Yunlong Liang, Fandong Meng, Yufeng Chen +2
Neural chat translation aims to translate bilingual conversational text, which has a broad application in international exchanges and cooperation. Despite the impressive performanc…
Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition
Ying Zhang, Fandong Meng, Yufeng Chen +2
Zero-resource named entity recognition (NER) severely suffers from data scarcity in a specific domain or language. Most studies on zero-resource NER transfer knowledge from various…
Confidence-Aware Scheduled Sampling for Neural Machine Translation
Yijin Liu, Fandong Meng, Yufeng Chen +2
Scheduled sampling is an effective method to alleviate the exposure bias problem of neural machine translation. It simulates the inference scene by randomly replacing ground-truth…
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Yangyifan Xu, Yijin Liu, Fandong Meng +3
Recently, token-level adaptive training has achieved promising improvement in machine translation, where the cross-entropy loss function is adjusted by assigning different training…