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%0 Conference Proceedings
%T Optical Character Recognition, Word Segmentation, Sentence Segmentation, and Information Extraction for Historical and Literature Texts in Classical Chinese
%A Liu, Chao-Lin
%Y Wang, Jenq-Haur
%Y Lai, Ying-Hui
%S Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020)
%D 2020
%8 September
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Taipei, Taiwan
%F liu-2020-optical
%U https://aclanthology.org/2020.rocling-1.40
%P 423-425

Markdown (Informal)

[Optical Character Recognition, Word Segmentation, Sentence Segmentation, and Information Extraction for Historical and Literature Texts in Classical Chinese](https://aclanthology.org/2020.rocling-1.40) (Liu, ROCLING 2020)

• Optical Character Recognition, Word Segmentation, Sentence Segmentation, and Information Extraction for Historical and Literature Texts in Classical Chinese (Liu, ROCLING 2020)

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).