YAD: Leveraging T5 for Improved Automatic Diacritization of Yor\`ub\'a Text

YAD: Leveraging T5 for Improved Automatic Diacritization of Yor\`ub\'a Text

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 mo...

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Hauptverfasser: Olawole, Akindele Michael, Alabi, Jesujoba O, Sakpere, Aderonke Busayo, Adelani, David I
Format: Artikel
Sprache:eng
Schlagworte:
Computer Science - Computation and Language
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Zusammenfassung: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
DOI:10.48550/arxiv.2412.20218