This study is supported by the Basic Research Fund for Universities Directly under the Inner Mongolia Autonomous Region Government: Research on the Cultivation Model of AI-Empowered College Students' Foreign Language Competence in Telling China's Stories from the Perspective of Mediationism (JY20250009); the 2025 General Education and Teaching Reform Project of Inner Mongolia University of Technology: Development and Practice of an Interdisciplinary "Foreign Language + Regional Culture" Curriculum Module (2025246); and the General Project of the Research Base for Forging a Strong Sense of Community for the Chinese Nation at Inner Mongolia University of Technology: Research on Northern Frontier Narratives in Western Travelogues and the Integration of Northern Frontier Culture into Foreign Language Teaching from the Perspective of Forging a Strong Sense of Community for the Chinese Nation (NGDZLJDY2504).
References
Baker, M. (2000). Towards a methodology for investigating the style of a literary translator. Target, 12(2), 241-266.
Baker, M. (2011). Corpus linguistics and translation studies: Implications and applications. In M. Baker (Ed.), Critical concepts in linguistics: Translation studies (Vol. 2, pp. 73-98). Routledge.
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022.
Chen, D. H., Zhou, Z., & Yang, J. (2018). Financial news mining based on LDA and sentiment analysis. Data Analysis and Knowledge Discovery, 2(10), 92-100.
Griffiths, T. L., & Steyvers, M. (2004). Finding scientific topics. Proceedings of the National Academy of Sciences, 101(Suppl 1), 5228-5235.
Hu, K. (2012). Corpus translation studies: Connotations and implications. Journal of Foreign Languages, 35(5), 59-70.
Hu, K., & Li, X. (2017). Corpus-based research on translation and China's image: Connotations and implications. Foreign Languages Research, (4), 70-75.
Hu, K., & Sheng, D. (2020). Corpus-based literary translation criticism: Connotations, implications and future. Technology Enhanced Foreign Language Education, (5), 19-24.
Hu, K., & Yang, F. (2019). Corpus-based literary studies: Connotations and implications. Journal of Zhejiang University (Humanities and Social Sciences), 49(5), 5-18.
Huang, L., & Shi, X. (2018). A corpus-based comparison of the translation styles of two Chinese versions of To the Lighthouse. Journal of PLA University of Foreign Languages, 41(2), 11-19.
Kim, K. H., & Zhu, Y. (Eds.). (2023). Researching translation in the age of technology and global conflict: Selected works of Mona Baker. Routledge.
Liu, Z. (2010). Corpus-based study of translator's style and translation strategies: A case of reporting verbs in translations of Dream of the Red Chamber. Journal of PLA University of Foreign Languages, 33(4), 87-92.
Liu, H., Huang, Y., Zhao, S., et al. (2017). Research on topic model optimization for Chinese short texts. Computer Engineering & Science, 39(3), 550-557.
Mimno, D., Wallach, H. M., Talley, E., et al. (2011). Optimizing semantic coherence in topic models. In Proceedings of EMNLP 2011 (pp. 262-272). Association for Computational Linguistics.
Newman, D., Lau, J. H., Grieser, K., & Baldwin, T. (2010). Automatic evaluation of topic coherence. In Proceedings of EMNLP 2010 (pp. 100-109). Association for Computational Linguistics.
Röder, M., Both, A., & Hinneburg, A. (2015). Exploring the space of topic coherence measures. In Proceedings of the Eighth ACM International Conference on Web Search and Data Mining (pp. 399-408). Association for Computing Machinery.
Standardization Administration of China. (2021). General technical specifications for corpus. Standardization Administration of China.
Zhao, W. X., Jiang, J., Weng, J., et al. (2010). Comparing Twitter and traditional media using topic models. In Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 338-345). Association for Computing Machinery.