A Universal Parent Model for Low-Resource Neural Machine Translation Transfer

14 September 2019

Papers citing "A Universal Parent Model for Low-Resource Neural Machine Translation Transfer"

7 / 7 papers shown

Title
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
A Survey on Low-Resource Neural Machine Translation Rui Wang Xu Tan Renqian Luo Tao Qin Tie-Yan Liu 3DV 33 58 0 09 Jul 2021
Neural Machine Translation for Low-Resource Languages: A Survey Surangika Ranathunga E. Lee Marjana Prifti Skenduli Ravi Shekhar Mehreen Alam Rishemjit Kaur 38 236 0 29 Jun 2021
Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation Mozhdeh Gheini Xiang Ren Jonathan May LRM 22 105 0 18 Apr 2021
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,208 0 12 Jun 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