Adapting High-resource NMT Models to Translate Low-resource Related
Languages without Parallel Data

Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data

31 May 2021

Ahmed El-Kishky

Adithya Renduchintala

Vishrav Chaudhary

Francisco Guzmán

Papers citing "Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data"

7 / 7 papers shown

Title
Deterministic Reversible Data Augmentation for Neural Machine Translation Jiashu Yao Heyan Huang Zeming Liu Yuhang Guo 51 0 0 21 Feb 2025
Letz Translate: Low-Resource Machine Translation for Luxembourgish Yewei Song Saad Ezzini Jacques Klein Tegawende F. Bissyande C. Lefebvre A. Goujon 33 2 0 02 Mar 2023
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions Shuhao Gu Bojie Hu Yang Feng CLL 44 13 0 03 Nov 2022
SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages Alireza Mohammadshahi Vassilina Nikoulina Alexandre Berard Caroline Brun James Henderson Laurent Besacier VLM MoE LRM 29 20 0 20 Oct 2022
Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine Translation Guanhua Chen Shuming Ma Yun-Nung Chen Dongdong Zhang Jia Pan Wenping Wang Furu Wei LRM 31 14 0 16 Oct 2021
Survey of Low-Resource Machine Translation Barry Haddow Rachel Bawden Antonio Valerio Miceli Barone Jindvrich Helcl Alexandra Birch AIMat 39 150 0 01 Sep 2021
A Multilingual View of Unsupervised Machine Translation Xavier Garcia Pierre Foret Thibault Sellam Ankur P. Parikh 54 37 0 07 Feb 2020