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cs.CL2020
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine Translation
Wenhao Zhu, Shujian Huang, Tong Pu +6
Previous research for adapting a general neural machine translation (NMT) model into a specific domain usually neglects the diversity in translation within the same domain, which i…
cs.CL2020
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation
Pei Zhang, Xu Zhang, Wei Chen +3
Document-level machine translation incorporates inter-sentential dependencies into the translation of a source sentence. In this paper, we propose a new framework to model cross-se…
cs.CL2018
Modality Attention for End-to-End Audio-visual Speech Recognition
Pan Zhou, Wenwen Yang, Wei Chen +2
Audio-visual speech recognition (AVSR) system is thought to be one of the most promising solutions for robust speech recognition, especially in noisy environment. In this paper, we…