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t5_sct-jis-v1_corpus10-bccwj-wiki40b_std
ouktlab/t5_sct-jis-v1_corpus10-bccwj-wiki40b_std
t5_sct-jis-v1_corpus10-bccwj-wiki40b_std is a machine learning model from ouktlab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
This is a Japanese syllable-to-character translation (SCT) model for character (Kanji, Katakana and Hiragana) recognition. - This model is based on T5 architecture. - This Japanese character tokenizer (v1) based on JI…
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At a glance
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- t5
- Access
- Public
- Created
- Aug 25, 2025
- Updated
- Aug 26, 2025
- SHA
- 596db561
Model card
From the Hugging Face model README
T5 SCT model
ouktlab/t5_sct-jis-v1_corpus10-bccwj-wiki40b_std
This is a Japanese syllable-to-character translation (SCT) model for character (Kanji, Katakana and Hiragana) recognition.
- This model is based on T5 architecture.
- This Japanese character tokenizer (v1) based on JIS X 0213 is assumed.
- The details and examples are shown at our github repository.
Citations
@inproceedings {rtakeda2025:apsipa,
author={Ryu Takeda and Kazunori Komatani},
title={Reducing Orthographic Dependency on Paired Data by Probabilistic Integration via Syllabogram for Japanese Dialogue Speech Recognition},
year={2025},
booktitle={Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (to appear)},
}
- Library
- transformers
- Type
- t5
- License
- cc-by-nc-4.0
- Languages
- ja
- Created
- Aug 25, 2025
- Updated
- Aug 26, 2025