Low-Resource Neural Machine Translation: A Systematic Literature Review
In this study, a systematic literature review was conducted to examine the significant works in the literature on low-resource neural machine translation. Within the scope of the study, three research questions were identified to examine the low-resource neural machine translation literature. Accord...
Saved in:
Main Authors: | Bilge Kagan Yazar, Durmus Ozkan Sahin, Erdal Kilic |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10327716/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Interval evaluation of temporal (in)stability for neural machine translation
by: Anna Egorova, et al.
Published: (2025-01-01) -
DESIGN OF TRANSLATION AMBIGUITY ELIMINATION METHOD BASED ON RECURRENT NEURAL NETWORKS
by: Jianzhou Cui
Published: (2024-07-01) -
Application of Minimax Optimization Mechanism in Chinese-English Machine Translation Quality Estimation
by: Xiaomei Zhang
Published: (2025-01-01) -
Automatiс Translation Process and Translation Technologies Advancement on International Translation Market: the Current Status and Development Trends
by: T. I. Makarevich
Published: (2021-01-01) -
The Machine Translation (MT) of Proverbs in the ENG-PL Language Pair
by: Romaniuk-Cholewska Dominika
Published: (2024-12-01)