# Automated Prediction of Medieval Arabic Diacritics

arXiv: https://arxiv.org/abs/2010.05269 · HTML: https://mlsanity.com/paper/2010.05269/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Oct 2020.

## Built on by (most cited first, 1 of 1)

- [Harnessing Multilingual Resources to Question Answering in Arabic](https://mlsanity.com/paper/2205.08024/) (2022)

## Abstract (arXiv)

This study uses a character level neural machine translation approach trained on a long short-term memory-based bi-directional recurrent neural network architecture for diacritization of Medieval Arabic. The results improve from the online tool used as a baseline. A diacritization model have been published openly through an easy to use Python package available on PyPi and Zenodo. We have found that context size should be considered when optimizing a feasible prediction model.