mlsanityData to 14 Oct 2026

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

arXiv 2412.20218 ↗First posted 28 Dec 2024cs.CLcited by 4

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Abstract (arXiv)

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

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 11 of its 18 references that are in the map. First posted on arXiv 28 Dec 2024.

Builds on

11 of 18 references.

References · 11

  1. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  2. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,818
  3. 2018A Call for Clarity in Reporting BLEU Scorescited by 1,799
  4. 2023UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretrainingcited by 151
  5. 2022A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translationcited by 98
  6. 2021The Effect of Domain and Diacritics in Yor`ub'a-English Neural Machine Translationcited by 38
  7. 2018Attentive Sequence-to-Sequence Learning for Diacritic Restoration of Yor`ub'a Language Textcited by 11
  8. 2021Diacritics Restoration using BERT with Analysis on Czech languagecited by 6
  9. 2022Correcting diacritics and typos with a ByT5 transformer modelcited by 6
  10. 2020Improving Yor`ub'a Diacritic Restorationcited by 5
  11. 2024Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Needcited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 1.

4 papers.

  1. 2025Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Aheadcited by 16
  2. 2025Are LLMs Good Text Diacritizers? An Arabic and Yoruba Case Studycited by 2
  3. 2025Accent Placement Models for Rigvedic Sanskrit Textcited by 1
  4. 2026Yo-ByT5: Efficient and High-Fidelity Diacritic Restoration for Yor`ub'acited by 0