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.

翻译：本项目介绍了一种先进的英译阿拉伯语翻译器，其性能超越了传统工具。通过利用赫尔辛基变压器（MarianMT），我们的方法在自行抓取的纯文学阿拉伯语数据集上进行微调。与谷歌翻译的对比评估显示，该翻译器在定性评估中持续表现更优。值得注意的是，它在文化敏感性和语境准确性方面表现出色。本研究强调了赫尔辛基变压器在使用标准阿拉伯语数据集进行英译阿拉伯语翻译时的优越性。