Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder

6 January 2019

Papers citing "Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder"

10 / 10 papers shown

Title
Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation Wen Lai Alexandra Chronopoulou Alexander Fraser 40 5 0 22 May 2023
PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document Generation Alireza Salemi Amirhossein Abaskohi Sara Tavakoli Yadollah Yaghoobzadeh A. Shakery AIMat 32 0 0 03 Apr 2023
Is Encoder-Decoder Redundant for Neural Machine Translation? Yingbo Gao Christian Herold Zijian Yang Hermann Ney 27 4 0 21 Oct 2022
Sub-Word Alignment Is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translation Minhan Xu Yu Hong 18 6 0 09 May 2022
When and Why is Unsupervised Neural Machine Translation Useless? Yunsu Kim Miguel Graça Hermann Ney SSL 25 70 0 22 Apr 2020
A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT Chi-Liang Liu Tsung-Yuan Hsu Yung-Sung Chuang Hung-yi Lee 34 14 0 20 Apr 2020
Denoising based Sequence-to-Sequence Pre-training for Text Generation Liang Wang Wei Zhao Ruoyu Jia Sujian Li Jingming Liu VLM AI4CE 42 37 0 22 Aug 2019
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies Yunsu Kim Yingbo Gao Hermann Ney VLM 24 88 0 14 May 2019
Word Translation Without Parallel Data Alexis Conneau Guillaume Lample MarcÁurelio Ranzato Ludovic Denoyer Hervé Jégou 189 1,639 0 11 Oct 2017
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,211 0 12 Jun 2017