Hunayn: Elevating Translation Beyond the Literal

Nasser Almousa, Nasser Alzamil, Abdullah Alshehri, Ahmad Sait
10/20/2023
cs.CLcs.AI

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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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Cite this paper

@article{almousa2023hunayn,
  title  = {Hunayn: Elevating Translation Beyond the Literal},
  author = {Nasser Almousa and Nasser Alzamil and Abdullah Alshehri and Ahmad Sait},
  year   = {2023},
  eprint = {2310.13613},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2310.13613v2}
}

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