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    <abstract>Existing automatic machine translation evaluation metrics, such as COMETKiwi and MetricX, showed relatively low correlations with human evaluation in the WAT2025 Patent Claim Translation/Evaluation Tasks. We propose a rubric-based LLM-as-a-Judge method for patent claim translation evaluation. Based on a patent-specific rubric consisting of five evaluation dimensions with corresponding checklist items, we instruct a GPT model to assess translation quality. On a publicly available human evaluation dataset derived from the WAT2025 Patent Claims Translation/Evaluation Tasks test set, the proposed method achieves the highest Pearson and Spearman correlation coefficients with human evaluation among all evaluated methods.</abstract>
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%0 Conference Proceedings
%T Towards a Rubric-based LLM-as-a-Judge for Patent Claim Translation Evaluation
%A Fu, Yingyi
%A Utsuro, Takehito
%A Nagata, Masaaki
%Y Nakazawa, Toshiaki
%Y Goto, Isao
%S Proceedings of the Thirteenth Workshop on Asian Translation (WAT 2026)
%D 2026
%8 November
%I Association for Computational Linguistics
%C Hengqin, China
%@ 979-8-89176-446-0
%F fu-etal-2026-towards
%X Existing automatic machine translation evaluation metrics, such as COMETKiwi and MetricX, showed relatively low correlations with human evaluation in the WAT2025 Patent Claim Translation/Evaluation Tasks. We propose a rubric-based LLM-as-a-Judge method for patent claim translation evaluation. Based on a patent-specific rubric consisting of five evaluation dimensions with corresponding checklist items, we instruct a GPT model to assess translation quality. On a publicly available human evaluation dataset derived from the WAT2025 Patent Claims Translation/Evaluation Tasks test set, the proposed method achieves the highest Pearson and Spearman correlation coefficients with human evaluation among all evaluated methods.
%U https://aclanthology.org/2026.wat-1.6/
%P 84-103

Markdown (Informal)

[Towards a Rubric-based LLM-as-a-Judge for Patent Claim Translation Evaluation](https://aclanthology.org/2026.wat-1.6/) (Fu et al., WAT 2026)

• Towards a Rubric-based LLM-as-a-Judge for Patent Claim Translation Evaluation (Fu et al., WAT 2026)

ACL

• Yingyi Fu, Takehito Utsuro, and Masaaki Nagata. 2026. Towards a Rubric-based LLM-as-a-Judge for Patent Claim Translation Evaluation. In Proceedings of the Thirteenth Workshop on Asian Translation (WAT 2026), pages 84–103, Hengqin, China. Association for Computational Linguistics.