Jabez Agyemang - Prempeh

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2025

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Howard University-AI4PC at SemEval-2025 Task 2: Improving Machine Translation With Context-Aware Entity-Only Pre-translations with GPT4o
Saurav Aryal | Jabez Agyemang - Prempeh
Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)

This paper presents our work on a 3-Step GPT translation system developed for SemEval-2025 Task 2 to enhance the translation of named entities within machine translation. Our approach integrates (1) entity extraction via wikidata, (2) GPT-based refinement of entity translations, and (3) final context-aware GPT translation. Results from the original dataset of six languages show significant improvements in the handling of named entities compared to direct GPT-based translation baselines. We further discuss replicability, observed challenges, and outline future research directions.
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