Automated Prediction of Medieval Arabic Diacritics

Khalid Alnajjar; Mika Hämäläinen; Niko Partanen; Jack Rueter

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arXiv · 2010.05269

Automated Prediction of Medieval Arabic Diacritics

Khalid Alnajjar·Mika Hämäläinen·Niko Partanen·Jack Rueter

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Abstract

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.

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BibTeX RIS

Khalid Alnajjar, Mika Hämäläinen, Niko Partanen, Jack Rueter. 2020-10-11. Automated Prediction of Medieval Arabic Diacritics. https://arxiv.org/abs/2010.05269

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