Search Results for author: Chengqi Zhao

Found 10 papers, 8 papers with code

Secoco: Self-Correcting Encoding for Neural Machine Translation

no code implementations27 Aug 2021 Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei LI, Hang Li, Deyi Xiong

This paper presents Self-correcting Encoding (Secoco), a framework that effectively deals with input noise for robust neural machine translation by introducing self-correcting predictors.

Machine Translation Translation

The Volctrans Neural Speech Translation System for IWSLT 2021

1 code implementation16 May 2021 Chengqi Zhao, Zhicheng Liu, Jian Tong, Tao Wang, Mingxuan Wang, Rong Ye, Qianqian Dong, Jun Cao, Lei LI

For offline speech translation, our best end-to-end model achieves 8. 1 BLEU improvements over the benchmark on the MuST-C test set and is even approaching the results of a strong cascade solution.

Translation

Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach

1 code implementation18 Oct 2020 Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, ShuJian Huang, Jiajun Chen, Lei LI

It is quite a challenge to incorporate long document context in the prevailing neural machine translation models such as Transformer.

Document-level Machine Translation +1

Kernelized Bayesian Softmax for Text Generation

1 code implementation NeurIPS 2019 Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei LI

Neural models for text generation require a softmax layer with proper token embeddings during the decoding phase.

Text Generation

Towards Making the Most of BERT in Neural Machine Translation

1 code implementation15 Aug 2019 Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Yong Yu, Wei-Nan Zhang, Lei LI

GPT-2 and BERT demonstrate the effectiveness of using pre-trained language models (LMs) on various natural language processing tasks.

Machine Translation Translation

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