YAD: Leveraging T5 for Improved Automatic Diacritization of Yorùbá Text
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866913628791242752 |
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| author | Olawole, Akindele Michael Alabi, Jesujoba O. Sakpere, Aderonke Busayo Adelani, David I. |
| author_facet | Olawole, Akindele Michael Alabi, Jesujoba O. Sakpere, Aderonke Busayo Adelani, David I. |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_20218 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | YAD: Leveraging T5 for Improved Automatic Diacritization of Yorùbá Text Olawole, Akindele Michael Alabi, Jesujoba O. Sakpere, Aderonke Busayo Adelani, David I. Computation and Language 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 |
| title | YAD: Leveraging T5 for Improved Automatic Diacritization of Yorùbá Text |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2412.20218 |