activity
20192022
most citedPretrained Language Models for Document-Level Neural Machine Translation

16 citations · 27 across the 9 of their papers we have counts for

collaborators

12 papers

cs.CL2022

Triangular Transfer: Freezing the Pivot for Triangular Machine Translation

Meng Zhang, Liangyou Li, Qun Liu

Triangular machine translation is a special case of low-resource machine translation where the language pair of interest has limited parallel data, but both languages have abundant…

cs.CL2021

Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training

Minghao Wu, Yitong Li, Meng Zhang +3

Learning multilingual and multi-domain translation model is challenging as the heterogeneous and imbalanced data make the model converge inconsistently over different corpora in re…

cs.CL20215 cited

The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation

Minghan Wang, Yuxia Wang, Chang Su +9

This paper describes our work in participation of the IWSLT-2021 offline speech translation task. Our system was built in a cascade form, including a speaker diarization module, an…

cs.CL2021

Multilingual Speech Translation with Unified Transformer: Huawei Noah's Ark Lab at IWSLT 2021

Xingshan Zeng, Liangyou Li, Qun Liu

This paper describes the system submitted to the IWSLT 2021 Multilingual Speech Translation (MultiST) task from Huawei Noah's Ark Lab. We use a unified transformer architecture for…

cs.CL20211 cited

Learning Multilingual Representation for Natural Language Understanding with Enhanced Cross-Lingual Supervision

Yinpeng Guo, Liangyou Li, Xin Jiang +1

Recently, pre-training multilingual language models has shown great potential in learning multilingual representation, a crucial topic of natural language processing. Prior works g…

cs.CL2021

RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer

Xingshan Zeng, Liangyou Li, Qun Liu

End-to-end simultaneous speech translation (SST), which directly translates speech in one language into text in another language in real-time, is useful in many scenarios but has n…