YAD: Leveraging T5 for Improved Automatic Diacritization of Yor\`ub\'a Text
Computation and Language
2024-12-31 v1
Abstract
In this work, we present Yor\`ub\'a automatic diacritization (YAD) benchmark dataset for evaluating Yor\`ub\'a diacritization systems. In addition, we pre-train text-to-text transformer, T5 model for Yor\`ub\'a and showed that this model outperform several multilingually trained T5 models. Lastly, we showed that more data and larger models are better at diacritization for Yor\`ub\'a
Cite
@article{arxiv.2412.20218,
title = {YAD: Leveraging T5 for Improved Automatic Diacritization of Yor\`ub\'a Text},
author = {Akindele Michael Olawole and Jesujoba O. Alabi and Aderonke Busayo Sakpere and David I. Adelani},
journal= {arXiv preprint arXiv:2412.20218},
year = {2024}
}
Comments
Accepted at AfricaNLP Workshop at ICLR 2024