Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach

8 September 2021

Papers citing "Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach"

6 / 6 papers shown

Title
Ukrainian-to-English folktale corpus: Parallel corpus creation and augmentation for machine translation in low-resource languages Olena Burda-Lassen 22 3 0 14 Oct 2024
A Morphologically-Aware Dictionary-based Data Augmentation Technique for Machine Translation of Under-Represented Languages Md Mahfuz Ibn Alam Sina Ahmadi Antonios Anastasopoulos 47 0 0 02 Feb 2024
Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation Víctor M. Sánchez-Cartagena Miquel Espla-Gomis J. A. Pérez-Ortiz F. Sánchez-Martínez 16 4 0 29 Jan 2024
TreeSwap: Data Augmentation for Machine Translation via Dependency Subtree Swapping Attila Nagy Dorina Lakatos Botond Barta Judit Ács 17 1 0 04 Nov 2023
Data Augmentation for Machine Translation via Dependency Subtree Swapping Attila Nagy Dorina Lakatos Botond Barta Patrick Nanys Judit Ács 26 1 0 13 Jul 2023
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences Chaojun Wang Y. Liu Wai Lam 26 2 0 16 May 2023