Hou-Chiang Tseng
Orcid: 0000-0001-5249-7280
According to our database1,
Hou-Chiang Tseng
authored at least 13 papers
between 2012 and 2024.
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Bibliography
2024
Extracting the Semantic Representation of Chinese-Japanese Homophones with Word2Vec for Teaching Chinese as a Second/Foreign Language.
Proceedings of the Innovative Technologies and Learning - 7th International Conference, 2024
CD-ROM in Chinese Character Education: Streamlining Material Complication with Multi-level Features.
Proceedings of the Innovative Technologies and Learning - 7th International Conference, 2024
2022
The Design and Development of a System for Chinese Character Difficulty and Features.
Proceedings of the 34th Conference on Computational Linguistics and Speech Processing, 2022
2019
Integrating LSA-based hierarchical conceptual space and machine learning methods for leveling the readability of domain-specific texts.
Nat. Lang. Eng., 2019
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).
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing, 2019
Proceedings of the Innovative Technologies and Learning - Second International Conference, 2019
2018
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].
Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, 2018
2017
Exploring the Use of Neural Newtork based Features for Text Readability Classification.
Int. J. Comput. Linguistics Chin. Lang. Process., 2017
Proceedings of the 29th Conference on Computational Linguistics and Speech Processing, 2017
2016
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].
Proceedings of the 28th Conference on Computational Linguistics and Speech Processing, 2016
2015
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].
Proceedings of the 27th Conference on Computational Linguistics and Speech Processing, 2015
2014
The Readability of Diabetes Patient Education Materials on the World Wide Web based on LSA and SVM technique.
Proceedings of the AMIA 2014, 2014
2012
Constructing a Novel Chinese Readability Classification Model Using Principal Component Analysis and Genetic Programming.
Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, 2012