It Takes Two: A Dual Stage Approach for Terminology-Aware Translation
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911258458980352 |
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| author | Jaswal, Akshat Singh |
| author_facet | Jaswal, Akshat Singh |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_07461 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | It Takes Two: A Dual Stage Approach for Terminology-Aware Translation Jaswal, Akshat Singh Computation and Language Artificial Intelligence 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. |
| title | It Takes Two: A Dual Stage Approach for Terminology-Aware Translation |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2511.07461 |