Error Correction of Japanese Character-Recognition in Answers to Writing-Type Questions Using T5-Reference-Cited by-同舟云学术

Error Correction of Japanese Character-Recognition in Answers to Writing-Type Questions Using T5

Published:2024 Issue: Volume: Page:229-243
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Suzuki Rina,Usui Hisao,Ozaki Hiroaki,Nguyen Hung Tuan^ORCID,Komiya Kanako^ORCID,Ishioka Tsunenori^ORCID,Nakagawa Masaki^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-70442-0_14

Reference17 articles.

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2. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: NAACL-HLT2019, pp. 4171–4186 (2019)

3. Hayashi, T., Gyohten, K., Ohki, H., Takami, T.: A study of data augmentation for handwritten character recognition using deep learning. In: 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 552–557 (2018). https://doi.org/10.1109/ICFHR-2018.2018.00102

4. Katinskaia, A., Yangarber, R.: Grammatical error correction for sentence-level assessment in language learning. In: Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023). Association for Computational Linguistics (2023)

5. Nagata, M.: Japanese OCR error correction using character shape similarity and statistical language model. In: COLING 1998 Volume 2: The 17th International Conference on Computational Linguistics (1998). https://aclanthology.org/C98-2147