Optical Character Recognition, Word Segmentation, Sentence Segmentation, and Information Extraction for Historical and Literature Texts in Classical Chinese

Chao-Lin Liu


Anthology ID:
2020.rocling-1.40
Volume:
Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020)
Month:
September
Year:
2020
Address:
Taipei, Taiwan
Editors:
Jenq-Haur Wang, Ying-Hui Lai
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:
423–425
Language:
URL:
https://aclanthology.org/2020.rocling-1.40
DOI:
Bibkey:
Cite (ACL):
Chao-Lin Liu. 2020. Optical Character Recognition, Word Segmentation, Sentence Segmentation, and Information Extraction for Historical and Literature Texts in Classical Chinese. In Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020), pages 423–425, Taipei, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
Optical Character Recognition, Word Segmentation, Sentence Segmentation, and Information Extraction for Historical and Literature Texts in Classical Chinese (Liu, ROCLING 2020)
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https://aclanthology.org/2020.rocling-1.40.pdf