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Cognitive Misalignment and Categorical Reconstruction of Qi in English Translation

Jul 2026 · Journal of Applied Language Learning · 0 citations

Abstract

The translation of culture-specific items is difficult not merely because of lexical gaps, but because languages often organize experience through different underlying cognitive categories. This study examines the Chinese core concept qi (Gas), a radial category rooted in embodied experience and centered on the prototype of vital energy, and explains why it is frequently fragmented in English translation. A bilingual database of 49 high-frequency qi-compounds was built from the Chinese Proficiency Grading Standards for International Chinese Language Education and checked against the Modern Chinese Dictionary and Oxford Learner's Dictionaries. The static morphological comparison was then supplemented by qualitative analysis of authentic translations from medical classics, philosophy, literary theory, ethical discourse, and fiction. The results show a systematic mismatch: Chinese organizes the qi-word family through a shared morpheme and modifier-head construction, with 34 of 49 items placing qi in final position and 37 of 49 exhibiting modifier-head structure. By contrast, English renders these items through morphologically unrelated simplexes, derivatives, phrases, and one compound, thereby distributing a continuous Chinese category across discrete lexical domains such as air, strength, anger, courage, integrity, and atmosphere. Translation examples further reveal metaphorical rupture when the force, container, and flow schemas of qi are replaced by static English entities. To address this problem, the study proposes a cognitive compensation framework consisting of category transplantation, semantic compensation, category re-implantation, and context-sensitive modulation. The framework contributes to cognitive translation studies and offers practical implications for translating and teaching culturally dense Chinese key concepts in applied language-learning contexts.

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