Soft Contextual Data Augmentation for Neural Machine Translation

25 May 2019

Fei Gao

Papers citing "Soft Contextual Data Augmentation for Neural Machine Translation"

24 / 24 papers shown

Title
Data Augmentation for Machine Translation via Dependency Subtree Swapping Attila Nagy Dorina Lakatos Botond Barta Patrick Nanys Judit Ács 31 1 0 13 Jul 2023
Is Encoder-Decoder Redundant for Neural Machine Translation? Yingbo Gao Christian Herold Zijian Yang Hermann Ney 27 4 0 21 Oct 2022
Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language Model Qiao Cheng Jin Huang Yitao Duan 31 7 0 22 Sep 2022
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification Minyi Zhao Lu Zhang Yi Xu Jiandong Ding Jihong Guan Shuigeng Zhou VLM 49 10 0 24 Apr 2022
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation Xiangpeng Wei Heng Yu Yue Hu Rongxiang Weng Weihua Luo Jun Xie Rong Jin CLL 17 24 0 14 Apr 2022
CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation Nishant Kambhatla Logan Born Anoop Sarkar 21 16 0 01 Apr 2022
Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks Xing Wu Chaochen Gao Meng Lin Liangjun Zang Zhongyuan Wang Songlin Hu 22 25 0 28 Feb 2022
OCR Improves Machine Translation for Low-Resource Languages Oana Ignat Jean Maillard Vishrav Chaudhary Francisco Guzmán 45 10 0 27 Feb 2022
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP Gözde Gül Sahin 40 33 0 18 Nov 2021
Investigation on Data Adaptation Techniques for Neural Named Entity Recognition Evgeniia Tokarchuk David Thulke Weiyue Wang Christian Dugast Hermann Ney 21 2 0 12 Oct 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 130 271 0 05 Oct 2021
Data Augmentation Methods for Anaphoric Zero Pronouns Abdulrahman Aloraini Massimo Poesio 29 5 0 20 Sep 2021
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach Víctor M. Sánchez-Cartagena M. Esplà-Gomis Juan Antonio Pérez-Ortiz Felipe Sánchez-Martínez 45 27 0 08 Sep 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 36 334 0 07 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
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Joey Tianyi Zhou Diyi Yang 28 172 0 14 Jun 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 42 799 0 07 May 2021
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems E. Razumovskaia Goran Glavavs Olga Majewska Edoardo Ponti Anna Korhonen Ivan Vulić 26 32 0 17 Apr 2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost Zhen Wu Lijun Wu Qi Meng Yingce Xia Shufang Xie Tao Qin Xinyu Dai Tie-Yan Liu 18 22 0 11 Apr 2021
Sequence-Level Mixed Sample Data Augmentation Demi Guo Yoon Kim Alexander M. Rush 25 98 0 18 Nov 2020
An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution Ryuto Konno Yuichiroh Matsubayashi Shun Kiyono Hiroki Ouchi Ryo Takahashi Kentaro Inui 18 7 0 02 Nov 2020
An Analysis of Simple Data Augmentation for Named Entity Recognition Xiang Dai Heike Adel 35 194 0 22 Oct 2020
AR: Auto-Repair the Synthetic Data for Neural Machine Translation Shanbo Cheng Shaohui Kuang Rongxiang Weng Heng Yu Changfeng Zhu Weihua Luo SyDa 25 3 0 05 Apr 2020
Microsoft Research Asia's Systems for WMT19 Yingce Xia Xu Tan Fei Tian Fei Gao Weicong Chen ... Yiren Wang Lijun Wu Jinhua Zhu Tao Qin Tie-Yan Liu VLM 27 26 0 07 Nov 2019