主持完成国家社科基金、全国博士后特别资助及3项省部级科研项目，并深度参与德国科学基金会（DFG）及欧盟科研理事会（ERC）等国际科研项目。

主持完成国家社科基金、全国博士后特别资助及3项省部级科研项目，并深度参与多项德国科学基金会（DFG）及欧盟科研理事会（ERC）等国际科研项目。

（一）部分英文论文

[EJ1] Sun, K. & Wang, R.(2026). A novel dependency framework for enhancing discourse data analysis. Journal of Artificial Intelligence Research.(Accepted; preprint: arXiv:2407.12473)

[EJ2] Sun, K. & Wang, R.(2026). The roles of contextual semantic relevance metrics in human visualprocessing. IEEE Transactions ofCognitive Development and System, 10.1109/TCDS.2026.3683873

[EJ3] Sun, K., Wang, R., &Baayen, H. (2026). Semantic coherence predicts reading fixation durationsacross languages beyond surprisal and lexical factors. Linguistics. (Accepted)

[EJ4] Sun,K.& Wang, R. (2026) The ebb and flow of discourse connectives: cognitivedecline or stylistic change? Language andCognition, 18:e25. doi:10.1017/langcog.2026.10072

[EJ5] Sun, K. & Wang, R.(2025). Breaking myths in LLM scaling and emergent abilities with acomprehensive statistical analysis. Neurocomputing, 670 (14), 132542.

[EJ6] Wang, R. & Sun, K.* (2025). Apipeline of neural-symbolic integration to enhance spatial reasoning in largelanguage models. Neural Networks, 193, 108022

[EJ7] Sun, K. & Wang, R.(2024). Computational sentence-level metrics for predicting human sentencecomprehension. Cognitive Science, 49:e70092. https://doi.org/10.1111/cogs.70092

[EJ8] Sun, K. & Liu, H.(2024). Attention-aware semantic relevance predicting Chinese sentence reading.Cognition, 255, 105991

[EJ9] Sun, K., Wang, Q., & Lu,X. (2023). An interpretable measure of semantic similarity for predicting eyemovements in reading. PsychonomicBulletin & Review, 30, 1227–1242.

[EJ10] Sun, K. & Wang, R.(2023). Mutual information and semantic similarity predicting sentenceprocessing: The case of dangling construction in Chinese. Journal of Cognitive Psychology, 35(2), 142–165.

[EJ11] Sun, K. (2022).Colloquialization as a key factor in historical changes of rational andemotional words. Proceedings of theNational Academy of Sciences (PNAS), 119(26), e2205563119.

[EJ12] Sun, K. & Lu, X.(2021). Predicting Chinese readers’ perception of sentence boundaries inwritten Chinese. Reading and Writing, 35, 1889–1910.

[EJ13] Sun, K. & Wang, R.(2021). Using the relative entropy of linguistic complexity to assess L2language proficiency development. Entropy,23(8), 1080.

[EJ14] Sun, K., Xiong, W., &Wang, R. (2021). Investigating genre distinctions through discourse distanceand discourse network. Corpus Linguisticsand Linguistic Theory, 7(3), 599–624.

[EJ15] Sun, K., Liu, H., &Xiong, W. (2021). The evolutionary pattern of language in scientific writings:A case study of PhilosophicalTransactions of the Royal Society (1665–1869). Scientometrics, (1), 1695–1724.

[EJ16] Sun, K. & Baayen, H.(2020). Hyphenation as an efficient compounding strategy in English. Language Sciences, 83(1), 101326.

[EJ17] Sun, K. & Xiong, W.(2019). A computational model for measuring discourse complexity. Discourse Studies, 21(6), 690–712.

[EJ18] Sun, K. (2019). TeachingEnglish-Chinese textual translation strategies: A topic-chain approach. Babel: International Journal of Translation,65(2), 286–315.

[EJ19] Sun, K. (2019). Theintegration functions of topic chains in Chinese discourse. Acta Linguistica Asiatica, 9(1), 29–57.

[EJ20] Sun, K. & Wang, R.(2019). Frequency distributions of punctuation marks in English: Evidence fromlarge-scale corpora. English Today， 35(4), 23–35.

[EJ21] Sun, K. (2018). Approachingthe double-nominal construction in Mandarin Chinese through thesemantic-cognitive interaction. StudiaLinguistica, 72(3), 687–724.

[EJ22] Sun, K. & Zhang, L.(2018). Quantitative aspects of PDTB-style discourse relations acrosslanguages. Journal of QuantitativeLinguistics, 25(4), 342–371.

 （二）部分中文论文

[CJ1] 孙坤. (2015). 中国古文特征与标点创造机理—与欧洲标点传统对比. 《中国语文》(CSSCI), 2015年第6期. 《人大复印资料 语言文字学》全文转载，2016《中国社会科学文摘》转载，2016.

[CJ2] 孙坤. (2015). 汉语话题链范畴、结构与篇章功能.《语言教学与研究》(CSSCI), 2015年第5期. 《人大复印资料 语言文字学》全文转载，2016.

[CJ3] 孙坤. (2014). 汉语话题链的特点与本质.《汉语学习》(CSSCI), 2014年第5期.

[CJ4] 孙坤. (2013). 话题链应用于英汉翻译模式与策略研究.《外语与外语教学》(CSSCI), 2013年第1期.

[CJ5] 孙坤. (2012). 对社会科学"语言转向"现象的思考——兼论'社会科学'和'人文学科'的困境、危机与对策. 《华南理工大学学报》, 2012年第5期. 《人大复印资料 社会科学总论》全文转载，2013.

[CJ6] 孙坤. (2011). 中国古代兵器英译初探：以《三国演义》英译本为例. Translation Quarterly (《翻译季刊》), 59,51–83.

[CJ7] 孙坤. (2010). 当代国外标点符号研究. 《当代语言学》(CSSCI), 2010年第2期.

[CJ8] 孙坤. (2007). 老舍与翻译. 《上海翻译》(CSSCI), 2007年第2期.

 

（三）部分会议论文

  [CF1] Sun, K., & Wang, R. (2023). AGroundbreaking dependency framework for streamlining discourse corpora. The18th Linguistic Annotation Workshop, Dec, Malta.

[CF2] Sun, K., & Wang, R. (2023).Attention-aware sentence-level metrics predicting human sentence comprehension.The 5th China-Germany Intelligent Robotics Conference, Nov, Tübingen. KeynoteSpeaker

[CF3] Sun, K., & Wang, R. (2022).Constructing a corpus of Chinese textual "run-on" sentences (CCTRS).5th International Conference on Natural Language and Speech Processing,December, Trento, Italy. ACL Anthology →

[CF4] Sun, K. & Nixon, J. (2020).Surprisal and semantic information in the prediction of language processing:Evidence from EEG data. AMLaP-Asia 2020, Hong Kong.