探究不同領域文件之可讀性分析 (Exploring Readability Analysis on Multi-Domain Texts) [In Chinese]

Hou-Chiang Tseng, Yao-Ting Sung, Berlin Chen


Anthology ID:
O17-1011
Volume:
Proceedings of the 29th Conference on Computational Linguistics and Speech Processing (ROCLING 2017)
Month:
November
Year:
2017
Address:
Taipei, Taiwan
Editors:
Lun-Wei Ku, Yu Tsao
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:
116–118
Language:
URL:
https://aclanthology.org/O17-1011
DOI:
Bibkey:
Cite (ACL):
Hou-Chiang Tseng, Yao-Ting Sung, and Berlin Chen. 2017. 探究不同領域文件之可讀性分析 (Exploring Readability Analysis on Multi-Domain Texts) [In Chinese]. In Proceedings of the 29th Conference on Computational Linguistics and Speech Processing (ROCLING 2017), pages 116–118, Taipei, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
探究不同領域文件之可讀性分析 (Exploring Readability Analysis on Multi-Domain Texts) [In Chinese] (Tseng et al., ROCLING 2017)
Copy Citation:
PDF:
https://preview.aclanthology.org/ml4al-ingestion/O17-1011.pdf