71 citations · 129 across the 12 of their papers we have counts for
13 papers
-gram Is Back: Residual Learning of Neural Text Generation with -gram Language Model
Huayang Li, Deng Cai, Jin Xu +1
-gram language models (LM) have been largely superseded by neural LMs as the latter exhibits better performance. However, we find that -gram models can achieve satisfactory p…
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics
Jiannan Xiang, Huayang Li, Yahui Liu +4
Current practices in metric evaluation focus on one single dataset, e.g., Newstest dataset in each year's WMT Metrics Shared Task. However, in this paper, we qualitatively and quan…
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance
Jiannan Xiang, Huayang Li, Defu Lian +3
Probing is popular to analyze whether linguistic information can be captured by a well-trained deep neural model, but it is hard to answer how the change of the encoded linguistic…
A Survey on Retrieval-Augmented Text Generation
Huayang Li, Yixuan Su, Deng Cai +2
Recently, retrieval-augmented text generation attracted increasing attention of the computational linguistics community. Compared with conventional generation models, retrieval-aug…
Neural Machine Translation with Monolingual Translation Memory
Deng Cai, Yan Wang, Huayang Li +2
Prior work has proved that Translation memory (TM) can boost the performance of Neural Machine Translation (NMT). In contrast to existing work that uses bilingual corpus as TM and…
GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation
Huayang Li, Lemao Liu, Guoping Huang +1
Computer-aided translation (CAT), the use of software to assist a human translator in the translation process, has been proven to be useful in enhancing the productivity of human t…