引用本網站的相關發表:

1. Chang, T. H., & Sung, Y. T. (2024). SmartWriting-Mandarin: An Automated Essay Scoring System for Chinese Foreign Language Learners. In The Routledge International Handbook of Automated Essay Evaluation (pp. 78-90). Routledge.
2. Yan Z., Lu S., Xu D., Yang Y., Wang H., Mao J., Fan Y., Chen Y., & Tseng H. C. (2024). P717 Evaluating the performance of Large Language Models in responding to patients' health queries: A comparative analysis with medical experts, Journal of Crohns and Colitis, 18(Supplement_1), i1348–i1349, https://doi.org/10.1093/ecco-jcc/jjad212.0847
3. Hong, J. F., Jen, H. T., & Sung, Y. T. (2023). The Study of Error Types of Chinese Learners’ Written Texts: A Chinese Written Corpus-Based Study. In Learner Corpora: Construction and Explorations in Chinese and Related Languages (pp. 155-184). Singapore: Springer Nature Singapore.
4. Zheng. Y., Tang, Y., Tseng, H. C., Chang, T. H., Li, L., Chen, P., Tang, Y., Lin, X. B., Chen, X., Tang, K. J. (2022). Evaluation of quality and readability of Over-the-Counter medication package inserts. Research in Social and Administrative Pharmacy. https://doi.org/10.1016/j.sapharm.2022.03.012
5. Sung, Y. T., Cheng, H. H., Tseng, H. C., Chang, K. E., & Lin, S. Y. (2022). Construction and Validation of a Computerized Creativity Assessment Tool with Automated Scoring Based on Deep-Learning Techniques. Psychology of Aesthetics, Creativity, and the Arts. https://doi.org/10.1037/aca0000450
6. Li, Y., Zhou, X., Zhou, Y., Mao, F., Shen, S., Lin, Y., ... & Sun, Q. (2021). Evaluation of the quality and readability of online information about breast cancer in China. Patient Education and Counseling, 104(4), 858-864.
7. Tseng, H. C., Chen, B., Chang, T. H., & Sung, Y. T. (2019). Integrating LSA-based hierarchical conceptual space and machine learning methods for leveling the readability of domain-specific texts. Natural Language Engineering, 25(3), 331-361. (SSCI,SCIE)
8. Lin, S. Y., Chen, H. C., Chang, T. H., Lee, W. E., & Sung, Y. T. (2019). (online first). CLAD: A corpus-derived Chinese Lexical Association Database. Behavior Research Methods. https://doi.org/10.3758/s13428-019-01208-2 (SSCI)
9. Hsu, F. Y., Lee. H. M., Chang. T. H., & Sung, Y. T. (2018). Automated estimation of item difficulty for multiple-choice tests:An application of word embedding techniques. Information Processing and Management, 54, 969–984. (SSCI)
10. 陳茹玲、曾厚強、宋曜廷、林慶隆、柯華葳（2017）。華語文教材之文本分析與可讀性研究。國際中文教育學報，1期，39-71。
11. Hong, J. F., Sung, Y. T., Tseng, H. C., Chang, K. E., & Chen, J. L. (2016). A multilevel analysis of the linguistic features affecting Chinese text readability. 臺灣華語教學研究, (13), 95-126.
12. Sung, Y. T., Chang,T. H., Lin,W. C., Hsieh, K. S., & Chang,K. E. (2016). CRIE: An Automated Analyzer for Chinese Texts. Behavior Research Methods, 1-14. (SSCI)(DOI 10.3758/s13428-015-0649-1)
13. Sung, Y. T., Lin, W. C., Dyson, S. B., Chang, K. E.,& Chen, Y. C. (2015). Leveling L2 texts through readability: Combining multilevel linguistic features with the CEFR. The Modern Language Journal,99(2), 371-391. (SSCI)(DOI: 10.1111/modl.12213)
14. Sung, Y. T., Chen, J. L., Cha, J. H., Tseng, H. C., Chang, T. H., & Chang, K. E. (2015). Constructing and validating readability models: Integrating multilevel linguistic features with machine learning methods. Behavior Research Methods, 47, 340-354. (SSCI)(DOI 10.3758/s13428-014-0459-x)
15. 宋曜廷、陳茹玲、李宜憲、查日龢、曾厚強、林維駿、張道行、張國恩（2013）。中文文本可讀性探討：指標選取、模型建立與效度驗證。中華心理學刊，55（1），75-106。
16. Chen, J. L., Cha, J. H., Chang, T. H., Sung, Y. T., & Hsieh, K. S. (2012, Nov). CRIE: A tool for analyzing Chinese text characteristics. Paper presented at 42nd Annual Meeting of the Society for Computers in Psychology (SCiP 2012). Minnesota, USA.
17. Sung, Y.-T., Chang, T.H., Chen, J.-L., Cha, J.-H., Huang, C.-H., Hu, M.-K., & Hsu, F.-Y. (2011, July). The construction of Chinese Readability Index Explorer and the analysis of text readability. Paper presented at 21th Annual Meeting of Society for Text and Discourse Process, Poitiers, France.