Machine Translation Performance for Low-Resource Languages: A Systematic Literature Review

Machine Translation Performance for Low-Resource Languages: A Systematic Literature Review

Machine translation (MT) for low-resource languages continues to face significant challenges because of limited digital resources and parallel corpora, despite remarkable developments in neural machine translation (NMT). Addressing these challenges requires a thorough review of existing research to...

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Main Authors: Taofik O. Tafa, Siti Zaiton Mohd Hashim, Mohd Shahizan Othman, Hitham Alhussian, Maged Nasser, Said Jadid Abdulkadir, Sharin Hazlin Huspi, Sarafa O. Adeyemo, Yunusa Adamu Bena
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Low-resource languages
machine translation
machine translation performance
machine translation techniques
systematic literature review
Online Access:https://ieeexplore.ieee.org/document/10972018/
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https://ieeexplore.ieee.org/document/10972018/

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