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The goal is to enhance multilingual machine translation by addressing contextual ambiguity through advanced models.

April 18, 2026Open Access

Enhancing Multilingual Machine Translation Using Context Aware Large Language Models

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The goal is to enhance multilingual machine translation by addressing contextual ambiguity through advanced models.
Integrated transformer-based architectures with contextual embeddings
Evaluated using BLEU, METEOR, and qualitative human assessments
Focused on handling long-range dependencies in translations
Context-aware LLMs outperformed traditional models in translation tasks
Improved semantic consistency and translation fluency observed
Enhanced performance noted in low-resource languages

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Demonstrates improved translation fluency in multilingual tasks using context-aware models, indicating better handling of ambiguity.

Sadh et al. (2026) studied this question.

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