Abstract: This study examines British novels from the eighteenth to nineteenth centuries, exploring innovative applications of digital humanities methods in literary emotion research. First, we constructed an automated emotion recognition pipeline based on the NRC Emotion Lexicon, covering large-scale corpora to perform precise extraction and quantification of emotion words from original novel texts. Second, we conducted genre-level emotion trend analysis across two hundred years of literary history. Finally, we extracted scenes with the highest density of emotion words in individual works, supplemented by close reading analysis. Through multi-dimensional visualization and various secondary metrics, we not only delineate temporal changes in emotions such as anger across dimensions of length, frequency, and intensity, as well as the lexicon of emotion-bearing words in […]

Abstract: In the recent literature on internationalist or Comintern aesthetics, the role of translation tends to be either ignored (see Glaser and Lee 2020) or presented as a problem (see Clark 2021; Tyerman 2022). This paper critically addresses this treatment of translation in order to offer a more systematic theorization of translation's role in internationalist aesthetics, especially in its eastward trajectory. Part I provides an overview of attempts by Soviet translation scholars to theorize translation’s role in internationalist aesthetics, beginning with Fedor Batiushkov’s contribution to the 1920 edition of Printsipy khudozhestvennogo perevoda . The second part analyzes how those theoretical positions were reflected in the many Soviet journals dedicated to translated literature, ranging from Sovremennyi Zapad  and Vostok , of the early 1920s, […]

Abstract: Language acts as the medium for information transfer in human society, through which meaning is continuously generated, conveyed, and interpreted. The evolution of large language models (LLMs) put it more challenging and provide insights that meanings, rather than structures, might primarily organize and convey the information. We aim to explore to what extent a LLM might share similarities with human’s behaviours in realistic natural discourse reading. We firstly abstracted LLM-based semantic metrics to quantitively model the semantic representation in a dynamic and multilevel nature. Eye-tracking data were recorded when healthy adult, typically developed children and children with developmental dyslexia read Chinese paragraphs. The LLM-based semantic metrics were found significantly correlated to eye-movement features. In dyslexic individuals, this approach further […]

Abstract: This talk explores how the Basic Law of the Hong Kong Special Administrative Region has been recontextualized in news media through a corpus-assisted discourse analysis. Drawing on a large dataset of news articles, this study examines the discursive strategies and linguistic patterns used to represent the Basic Law across different socio-political contexts. It identifies key themes, ideological stances, and shifts in framing over time, shedding light on how media outlets engage with and reinterpret the legal framework to align with broader political narratives. By combining critical discourse analysis with corpus linguistics, the study provides a systematic and data-driven approach to understanding the role of media in shaping public perceptions of the Basic Law. This research contributes to the fields […]