46 citations · 300 across the 39 of their papers we have counts for
6 papers · 1 filter
Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics
Shaonan Wang, Jiajun Zhang, Nan Lin +1
Multimodal models have been proven to outperform text-based approaches on learning semantic representations. However, it still remains unclear what properties are encoded in multim…
Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT
Yining Wang, Long Zhou, Jiajun Zhang +1
Neural machine translation (NMT), a new approach to machine translation, has been proved to outperform conventional statistical machine translation (SMT) across a variety of langua…
Towards Neural Machine Translation with Partially Aligned Corpora
Yining Wang, Yang Zhao, Jiajun Zhang +2
While neural machine translation (NMT) has become the new paradigm, the parameter optimization requires large-scale parallel data which is scarce in many domains and language pairs…
Look-ahead Attention for Generation in Neural Machine Translation
Long Zhou, Jiajun Zhang, Chengqing Zong
The attention model has become a standard component in neural machine translation (NMT) and it guides translation process by selectively focusing on parts of the source sentence wh…
Neural System Combination for Machine Translation
Long Zhou, Wenpeng Hu, Jiajun Zhang +1
Neural machine translation (NMT) becomes a new approach to machine translation and generates much more fluent results compared to statistical machine translation (SMT). However, SM…
Shortcut Sequence Tagging
Huijia Wu, Jiajun Zhang, Chengqing Zong
Deep stacked RNNs are usually hard to train. Adding shortcut connections across different layers is a common way to ease the training of stacked networks. However, extra shortcuts…