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Hou-Chiang Tseng
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2020 – today
- 2024
- [c11]Min-Chi Lo
, Li-Yun Chang
Extracting the Semantic Representation of Chinese-Japanese Homophones with Word2Vec for Teaching Chinese as a Second/Foreign Language. ICITL (1) 2024: 271-280 - [c10]Li-Yun Chang
CD-ROM in Chinese Character Education: Streamlining Material Complication with Multi-level Features. ICITL (1) 2024: 298-308 - 2022
- [c9]Jung-En Haung, Hou-Chiang Tseng, Li-Yun Chang, Hsueh-Chih Chen, Yao-Ting Sung:
The Design and Development of a System for Chinese Character Difficulty and Features. ROCLING 2022: 256-262
2010 – 2019
- 2019
- [j2]Hou-Chiang Tseng, Berlin Chen, Tao-Hsing Chang, Yao-Ting Sung:
Integrating LSA-based hierarchical conceptual space and machine learning methods for leveling the readability of domain-specific texts. Nat. Lang. Eng. 25(3): 331-361 (2019) - [c8]Hou-Chiang Tseng, Hsueh-Chih Chen, Kuo-En Chang, Yao-Ting Sung, Berlin Chen:
An Innovative BERT-Based Readability Model. ICITL 2019: 301-308 - [c7]Shi-Yan Weng, Hou-Chiang Tseng, Yao-Ting Sung, Berlin Chen:
基於階層式編碼架構之文本可讀性預測(A Hierarchical Encoding Framework for Text Readability Prediction). ROCLING 2019: 334-342 - 2018
- [c6]Hou-Chiang Tseng, Berlin Chen, Yao-Ting Sung:
探索結合快速文本及卷積神經網路於可讀性模型之建立 (Exploring Combination of FastText and Convolutional Neural Networks for Building Readability Models) [In Chinese]. ROCLING 2018: 116-125 - 2017
- [j1]Hou-Chiang Tseng, Berlin Chen, Yao-Ting Sung:
Exploring the Use of Neural Newtork based Features for Text Readability Classification. Int. J. Comput. Linguistics Chin. Lang. Process. 22(2) (2017) - [c5]Hou-Chiang Tseng, Yao-Ting Sung, Berlin Chen:
探究不同領域文件之可讀性分析 (Exploring Readability Analysis on Multi-Domain Texts) [In Chinese]. ROCLING 2017: 116-118 - 2016
- [c4]Hou-Chiang Tseng, Hsiao-Tsung Hung, Yao-Ting Sung, Berlin Chen:
基於深層類神經網路及表示學習技術之文件可讀性分類(Classification of Text Readability Based on Deep Neural Network and Representation Learning Techniques)[In Chinese]. ROCLING 2016 - 2015
- [c3]Yi-Nian Liu, Kuan-Yu Chen, Hou-Chiang Tseng, Berlin Chen:
可讀性預測於中小學國語文教科書及優良課外讀物之研究(A Study of Readability Prediction on Elementary and Secondary Chinese Textbooks and Excellent Extracurricular Reading Materials) [In Chinese]. ROCLING 2015 - 2014
- [c2]Ying-Li Lee, Hou-Chiang Tseng, Yao-Ting Sung, Ju-Ling Chen, Shao Hui Shu:
The Readability of Diabetes Patient Education Materials on the World Wide Web based on LSA and SVM technique. AMIA 2014 - 2012
- [c1]Yi-Shian Lee, Hou-Chiang Tseng, Ju-Ling Chen, Chun-Yi Peng, Tao-Hsing Chang, Yao-Ting Sung:
Constructing a Novel Chinese Readability Classification Model Using Principal Component Analysis and Genetic Programming. ICALT 2012: 164-166
Coauthor Index
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