Yo-ByT5: Efficient and High-Fidelity Diacritic Restoration for Yor\`ub\'a
Yor\`ub\'a is a widely spoken tonal language that depends on diacritics to avoid lexical ambiguity. However, it is often written without these diacritics, thereby hindering downstream Natural Language Processing (NLP) tasks. In this paper, we introduce Yo-ByT5, a byte-level Automatic Diacritic Restoration (ADR) model f...
Ahmad Samuel Gali, Shamsuddeen Hassan Muhammad University of Lagos, Bayero Unuversity Kano et al.
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