Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in
Neural Machine Translation

Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation

17 August 2019

Tianyu He

Xu Tan

Papers citing "Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation"

5 / 5 papers shown

Title
Layer-wise Representation Fusion for Compositional Generalization Yafang Zheng Lei Lin Shantao Liu Binling Wang Zhaohong Lai Wenhao Rao Biao Fu Yidong Chen Xiaodon Shi AI4CE 45 2 0 20 Jul 2023
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition Yichong Leng Xu Tan Linchen Zhu Jin Xu Renqian Luo Linquan Liu Tao Qin Xiang-Yang Li Ed Lin Tie-Yan Liu KELM 24 63 0 09 May 2021
Classical Structured Prediction Losses for Sequence to Sequence Learning Sergey Edunov Myle Ott Michael Auli David Grangier MarcÁurelio Ranzato AIMat 56 185 0 14 Nov 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,925 0 17 Aug 2015