Zhaokun Jiang
Biographic Data
| ID | 6521559 |
|---|---|
| NAME | Zhaokun Jiang |
| GIVEN NAMES | Zhaokun |
| FAMILY NAME | Jiang |
| SIGNATURE | JIANG Z |
| AFFILIATIONS | School of Foreign Languages Shanghai Jiao Tong University Shanghai P. R. China |
| ORCID | 0000-0002-1129-4003 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Exploring thematic rewritings in literary translation through LDA topic modeling
Thematic rewritings of literary works, which involve both systematic and nuanced variations, represent an important but underexplored area in translation studies. By adopting a mixed-method analytical framework that combines Latent Dirichlet Allocation (LDA) topic modeling and textual analysis, this study focuses on The Field of Life and Death, the sole English translation of the Chinese novel Sheng Si Chang, to investigate how the translator may…
The effects of task complexity and individual differences in novice interpreters' consecutive interpreting performance
Consecutive interpreting (CI) is a cognitively demanding and anxiety-provoking task characterized by multidimensional cognitive load, requiring interpreters to manage meaning processing, syntactic reformulation, and memory retention under time constraints. Performance in CI is thus susceptible to both task-induced load and individual differences in cognitive and affective traits. This study investigates how task complexity, operationalized throug…
Distinguishing ChatGPT‐Generated Translation From Neural Machine Translation and Human Translation
The widespread adoption of large language models (LLMs) for translation tasks necessitates a deeper understanding of the stylistic characteristics of their generated translations, an area that remains largely underexplored. To address this gap, this study examines whether a distinct LLM‐translationese emerges in diplomatic translation and identifies the linguistic features that differentiate LLM‐based translation from neural machine translation (…
Rethinking “Elaborate Equals Effective”
While GenAI‐assisted corrective feedback (GACF) shows great promise for personalized learning, how to tailor it for maximum educational impact remains largely underexplored. Pivotal to this issue is feedback complexity. Simple feedback generally confines itself to basic checks and results, whereas elaborated feedback offers more comprehensive scaffolding, including task explanations, hints, and error analysis. Despite the intuitive appeal of elab…
No prominent works on this page.
Rethinking “Elaborate Equals Effective”
While GenAI‐assisted corrective feedback (GACF) shows great promise for personalized learning, how to tailor it for maximum educational impact remains largely underexplored. Pivotal to this issue is feedback complexity. Simple feedback generally confines itself to basic checks and results, whereas elaborated feedback offers more comprehensive scaffolding, including task explanations, hints, and error analysis. Despite the intuitive appeal of elab…
Exploring thematic rewritings in literary translation through LDA topic modeling
Thematic rewritings of literary works, which involve both systematic and nuanced variations, represent an important but underexplored area in translation studies. By adopting a mixed-method analytical framework that combines Latent Dirichlet Allocation (LDA) topic modeling and textual analysis, this study focuses on The Field of Life and Death, the sole English translation of the Chinese novel Sheng Si Chang, to investigate how the translator may…
The effects of task complexity and individual differences in novice interpreters' consecutive interpreting performance
Consecutive interpreting (CI) is a cognitively demanding and anxiety-provoking task characterized by multidimensional cognitive load, requiring interpreters to manage meaning processing, syntactic reformulation, and memory retention under time constraints. Performance in CI is thus susceptible to both task-induced load and individual differences in cognitive and affective traits. This study investigates how task complexity, operationalized throug…
Distinguishing ChatGPT‐Generated Translation From Neural Machine Translation and Human Translation
The widespread adoption of large language models (LLMs) for translation tasks necessitates a deeper understanding of the stylistic characteristics of their generated translations, an area that remains largely underexplored. To address this gap, this study examines whether a distinct LLM‐translationese emerges in diplomatic translation and identifies the linguistic features that differentiate LLM‐based translation from neural machine translation (…
Cognition (2 works) · Computational and Text Analysis Methods (2 works) · Translation studies (2 works) · Appeal (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Authorship Attribution and Profiling (1 work) · Cognitive Load (1 work) · Corrective Feedback (1 work) · Dynamic and formal equivalence (1 work) · EFL/ESL Teaching and Learning (1 work)