YAD: Leveraging T5 for Improved Automatic Diacritization of Yorùbá Text
arXiv:2412.20218
Abstract
In this work, we present Yorùbá automatic diacritization (YAD) benchmark dataset for evaluating Yorùbá diacritization systems. In addition, we pre-train text-to-text transformer, T5 model for Yorùbá 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 Yorùbá
Accepted at AfricaNLP Workshop at ICLR 2024