Published: 2025-08-01
Palembang to Indonesian Language Translation Machine Using the No Language Left Behind Approach
DOI: 10.35870/ijsecs.v5i2.4105
Muhammad Finaldo, Yesi Novaria Kunang
Abstract
The Palembang language, deeply rooted in the cultural fabric of South Sumatra, continues to serve as a vital means of daily communication for many communities. As globalization accelerates, safeguarding such regional languages has become increasingly urgent, particularly through technological solutions that can bridge communication between local speakers and visitors. This study introduces an automatic translation system designed to convert Palembang text into Indonesian, employing the No Language Left Behind (NLLB) algorithm—a recent development in artificial intelligence for language processing. A dataset containing 7,917 pairs of Palembang and Indonesian sentences was assembled for this purpose. The translation models were trained and assessed using BLEU (Bilingual Evaluation Understudy) and chrF (Character n-gram F-score) metrics. The initial model achieved a BLEU score of 22.55 and a chrF++ score of 43.22. Subsequent improvements raised these scores to 30.72 and 55.39, respectively, reflecting a significant enhancement in translation quality and clarity for Indonesian readers. By focusing on a language with limited digital resources, this research demonstrates the potential of modern translation technologies to support both linguistic preservation and practical communication needs in diverse cultural settings.
Keywords
Palembang Language ; No Language Left Behind ; Machine Translation
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Article Information
This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 5 No. 2 (2025)
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Section: Articles
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Published: August 1, 2025
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License: CC BY 4.0
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Copyright: © 2025 Authors
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DOI: 10.35870/ijsecs.v5i2.4105
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Muhammad Finaldo
Intelligent Systems Research Group (ISRG), Faculty of Science Technology, Universitas Bina Darma, Palembang City, South Sumatra Province, Indonesia
Yesi Novaria Kunang
Intelligent Systems Research Group (ISRG), Faculty of Science Technology, Universitas Bina Darma, Palembang City, South Sumatra Province, Indonesia
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