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%0 Conference Proceedings
%T 探究不同領域文件之可讀性分析 (Exploring Readability Analysis on Multi-Domain Texts) [In Chinese]
%A Tseng, Hou-Chiang
%A Sung, Yao-Ting
%A Chen, Berlin
%Y Ku, Lun-Wei
%Y Tsao, Yu
%S Proceedings of the 29th Conference on Computational Linguistics and Speech Processing (ROCLING 2017)
%D 2017
%8 November
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Taipei, Taiwan
%F tseng-etal-2017-tan
%U https://aclanthology.org/O17-1011
%P 116-118

Markdown (Informal)

[探究不同領域文件之可讀性分析 (Exploring Readability Analysis on Multi-Domain Texts) [In Chinese]](https://aclanthology.org/O17-1011) (Tseng et al., ROCLING 2017)

• 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)

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).