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Enhancing Machine Translation in Low-Resource Languages: A Comparative Review of Prompt-Based and Fine-Tuning Methods
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Authors:
Ryoma Suzuki
Published:
15 November 2025
Issue:
Volume 1, Issue 4
Topics:
artificial intelligence & machine learning
computer science
linguistics
Keywords:
adapters
prefix tuning
computational efficiency
parameter-efficient fine-tuning (PEFT)
fine-tuning methods
prompt-based methods
machine translation (MT)
translation performance
large language models (LLMs)
low-resource languages
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Convergence Journal 2026