International Journal of Humanities and Arts Computing (IJHAC), 2025 (1), forthcoming. This article draws upon recent developments in cognitive neuroscience and natural language processing to contribute a techno-cognitive perspective into the “deep reading” vs. “surface reading” debate in literary[…]

Zong-qi Cai & Maciej Kurzynski, Journal of Chinese Literature and Culture, 2024 (2), forthcoming. Integrating traditional Chinese poetics, modern linguistic methods, and computational analysis, this article explores how the pre-Qin Book of Poetry and the Han “Nineteen Old Poems” realized the[…]

Journal of Data Mining & Digital Humanities, April 29, 2024, NLP4DH The arrival of large language models (LLMs) has provoked an urgent search for stylistic markers that could differentiate machine text from human text, but while the human-like appearance[…]

Journal of Digital Humanities 《数字人文》, 2022 (1), pp. 87-115. Words transmit not only semantic meaning but also affective energy. The growing scholarship on the sublime in non-Western contexts makes it necessary to reconsider the possibility of this peculiar experience[…]

Aaron Gilkison & Maciej Kurzynski, Journal of Cultural Analytics 9 (1), 2024. From personal memoirs and cooking recipes to revolutionary agitation and war coverage, the People’s Liberation Army Daily offers a wealth of insights into the sociopolitical and affective realities of[…]

A Techno-Cognitive Approach to Interiority in Modern Chinese Literature. Talk at the Stanford Center for Spatial and Textual Analysis (CESTA): https://www.youtube.com/watch?v=CJEUOw-5kB8