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This paper investigates weakly-supervised ByT5 fine-tuning for stress-aware sentence-level Filipino grapheme-to-phoneme conversion, achieving significant improvements in phoneme and character error rates on a manually-corrected test set.
Introduces PACUTE, a diagnostic benchmark of 4,600 tasks evaluating morphological understanding in Filipino, revealing that even frontier models struggle with morpheme decomposition and productive morphological composition.