The Impact of Domain-Specific Terminology on Machine Translation for Finance in European Languages (2025.naacl-long)
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| Challenge: | Existing datasets for evaluating MT systems in this domain are limited. |
| Approach: | They propose to use a multi-parallel corpus from the European Central Bank to analyze the impact of domain-specific terminology on multilingual machine translation for finance. |
| Outcome: | The proposed method compares open-source multilingual MT systems with large language models (LLMs) that possess multilingual capabilities. |
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