Hunayn: Elevating Translation Beyond the Literal

October 20, 2023 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Nasser Almousa, Nasser Alzamil, Abdullah Alshehri, Ahmad Sait arXiv ID 2310.13613 Category cs.CL: Computation & Language Cross-listed cs.AI Citations 1 Venue arXiv.org Last Checked 6 months ago
Abstract
This project introduces an advanced English-to-Arabic translator surpassing conventional tools. Leveraging the Helsinki transformer (MarianMT), our approach involves fine-tuning on a self-scraped, purely literary Arabic dataset. Evaluations against Google Translate show consistent outperformance in qualitative assessments. Notably, it excels in cultural sensitivity and context accuracy. This research underscores the Helsinki transformer's superiority for English-to-Arabic translation using a Fusha dataset.
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