MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation

11 December 2019

Papers citing "MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation"

12 / 12 papers shown

Title
SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization Yi-Syuan Chen Yun-Zhu Song Hong-Han Shuai 33 6 0 24 Mar 2023
Rethinking Round-Trip Translation for Machine Translation Evaluation Terry Yue Zhuo Qiongkai Xu Xuanli He Trevor Cohn LRM 29 2 0 15 Sep 2022
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification Jianhai Zhang M. Maimaiti Xing Gao Yuanhang Zheng Ji Zhang 23 9 0 11 Apr 2022
Improving Both Domain Robustness and Domain Adaptability in Machine Translation Wen Lai Jindrich Libovický Alexander Fraser AI4CE 37 14 0 15 Dec 2021
Neural Machine Translation for Low-Resource Languages: A Survey Surangika Ranathunga E. Lee Marjana Prifti Skenduli Ravi Shekhar Mehreen Alam Rishemjit Kaur 45 237 0 29 Jun 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey Danielle Saunders AI4CE 34 86 0 14 Apr 2021
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation Runzhe Zhan Xuebo Liu Derek F. Wong Lidia S. Chao 39 46 0 03 Mar 2021
Meta-Transfer Learning for Low-Resource Abstractive Summarization Yi-Syuan Chen Hong-Han Shuai CLL OffRL 48 38 0 18 Feb 2021
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning Cheonbok Park Yunwon Tae Taehee Kim Soyoung Yang Mohammad Azam Khan Lucy Park Jaegul Choo 109 17 0 18 Oct 2020
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 227 1,211 0 12 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 514 11,727 0 09 Mar 2017
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 220 1,328 0 05 Jun 2016