Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing

18 May 2021

Papers citing "Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing"

6 / 6 papers shown

Title
The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges Genta Indra Winata Alham Fikri Aji Zheng-Xin Yong Thamar Solorio 37 33 0 19 Dec 2022
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models A. Khan Hrishikesh Kanade G. Budhrani Preet Jhanglani Jia Xu 81 2 0 21 Oct 2022
CALCS 2021 Shared Task: Machine Translation for Code-Switched Data Shuguang Chen Gustavo Aguilar A. Srinivasan Mona T. Diab Thamar Solorio 34 15 0 19 Feb 2022
AraT5: Text-to-Text Transformers for Arabic Language Generation El Moatez Billah Nagoudi AbdelRahim Elmadany Muhammad Abdul-Mageed 89 118 0 31 Aug 2021
Improving Similar Language Translation With Transfer Learning Ife Adebara Muhammad Abdul-Mageed 29 1 0 07 Aug 2021
Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences Genta Indra Winata Andrea Madotto Chien-Sheng Wu Pascale Fung SyDa 135 92 0 18 Sep 2019