AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation

10 May 2022

Papers citing "AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation"

7 / 7 papers shown

Title
Data Augmentation With Back translation for Low Resource languages: A case of English and Luganda Richard Kimera DongNyeong Heo Daniela N. Rim Heeyoul Choi 149 0 0 05 May 2025
Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation Víctor M. Sánchez-Cartagena Miquel Espla-Gomis J. A. Pérez-Ortiz F. Sánchez-Martínez 35 4 0 29 Jan 2024
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks Xuming Hu Aiwei Liu Zeqi Tan Xin Zhang Chenwei Zhang Irwin King Philip S. Yu 50 16 0 26 May 2023
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 130 271 0 05 Oct 2021
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 216 315 0 04 Mar 2020
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 244 269 0 30 Sep 2019
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