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Data Augmentation Techniques for Machine Translation of Code-Switched
  Texts: A Comparative Study

Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study

23 October 2023
Injy Hamed
Nizar Habash
Ngoc Thang Vu
ArXivPDFHTML

Papers citing "Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study"

4 / 4 papers shown
Title
The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR
The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR
Injy Hamed
Ngoc Thang Vu
Nizar Habash
33
0
0
30 Mar 2025
A Survey of Code-switching: Linguistic and Social Perspectives for
  Language Technologies
A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies
A. Seza Doğruöz
Sunayana Sitaram
Barbara E. Bullock
Almeida Jacqueline Toribio
70
72
0
05 Jan 2023
From Machine Translation to Code-Switching: Generating High-Quality
  Code-Switched Text
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
Ishan Tarunesh
Syamantak Kumar
P. Jyothi
36
45
0
14 Jul 2021
Code-Switched Language Models Using Neural Based Synthetic Data from
  Parallel Sentences
Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences
Genta Indra Winata
Andrea Madotto
Chien-Sheng Wu
Pascale Fung
SyDa
124
92
0
18 Sep 2019
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