Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in
Non-Autoregressive Translation

Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation

2 June 2021

Liang Ding

Papers citing "Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation"

9 / 9 papers shown

Title
Non-autoregressive Personalized Bundle Generation Wenchuan Yang Cheng Yang Jichao Li Yuejin Tan Xin Lu Chuan Shi 28 0 0 11 Jun 2024
What Have We Achieved on Non-autoregressive Translation? Yafu Li Huajian Zhang Jianhao Yan Yongjing Yin Yue Zhang 31 1 0 21 May 2024
Revisiting Non-Autoregressive Translation at Scale Zhihao Wang Longyue Wang Jinsong Su Junfeng Yao Zhaopeng Tu 22 3 0 25 May 2023
Multi-Granularity Optimization for Non-Autoregressive Translation Yafu Li Leyang Cui Yongjing Yin Yue Zhang 27 7 0 20 Oct 2022
Improving Neural Machine Translation by Denoising Training Liang Ding Keqin Peng Dacheng Tao VLM AI4CE 33 6 0 19 Jan 2022
The USYD-JD Speech Translation System for IWSLT 2021 Liang Ding Di Wu Dacheng Tao 29 16 0 24 Jul 2021
Understanding and Improving Lexical Choice in Non-Autoregressive Translation Liang Ding Longyue Wang Xuebo Liu Derek F. Wong Dacheng Tao Zhaopeng Tu 96 77 0 29 Dec 2020
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation Yongchang Hao Shilin He Wenxiang Jiao Zhaopeng Tu Michael Lyu Xing Wang 95 28 0 24 Oct 2020
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 215 1,207 0 12 Jun 2017