It Takes Two: A Dual Stage Approach for Terminology-Aware Translation

• URL: http://arxiv.org/abs/2511.07461v1
• Date: Wed, 12 Nov 2025 01:00:57 GMT
• Title: It Takes Two: A Dual Stage Approach for Terminology-Aware Translation
• Authors: Akshat Singh Jaswal,
• Abstract summary: This paper introduces DuTerm, a novel two-stage architecture for terminology-constrained machine translation.<n>Our system combines a terminology-aware NMT model, adapted via fine-tuning on large-scale synthetic data, with a prompt-based LLM for post-editing.<n>We demonstrate that flexible, context-driven terminology handling by the LLM consistently yields higher quality translations than strict constraint enforcement.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper introduces DuTerm, a novel two-stage architecture for terminology-constrained machine translation. Our system combines a terminology-aware NMT model, adapted via fine-tuning on large-scale synthetic data, with a prompt-based LLM for post-editing. The LLM stage refines NMT output and enforces terminology adherence. We evaluate DuTerm on English-to German, English-to-Spanish, and English-to-Russian with the WMT 2025 Terminology Shared Task corpus. We demonstrate that flexible, context-driven terminology handling by the LLM consistently yields higher quality translations than strict constraint enforcement. Our results highlight a critical trade-off, revealing that an LLM's work best for high-quality translation as context-driven mutators rather than generators.

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