Abstract
<p>Li Bai, a great poet in the Tang Dynasty, is known for his romantic poetic style, but sadness metaphor is not rare in his poems. Therefore, this paper takes sadness metaphor in Li’s poetry as the object of study to explore its metaphorical meanings from the perspective of cognitive linguistics. From that, we can find that image schema is frequently used as the source domain to describe the abstract sadness. Based on this, the authors focus on the relationship between sadness metaphor and image schema and then discuss the English translation of sadness metaphor, trying to find out the characteristics and effective strategies of translating sadness metaphor in Li Bai’s poems.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0693/a.php" alt="Hit counter" /></p>
Highlights
IntroductionShanshan; Wang, Feng A STUDY OF SADNESS METAPHOR IN LI BAI’S POETRY AND ITS ENGLISH TRANSLATION FROM THE PERSPECTIVE OF IMAGE SCHEMA
The findings show that: sensory image schemas and the SCALE schema are often mapped onto Li Bai’s experience of sadness to metaphorically conceptualize the latter
We can find that sensory image schemas and the SCALE schema are often used as the source domains in sadness metaphors they don’t belong to common image schemas held by many scholars
Summary
Shanshan; Wang, Feng A STUDY OF SADNESS METAPHOR IN LI BAI’S POETRY AND ITS ENGLISH TRANSLATION FROM THE PERSPECTIVE OF IMAGE SCHEMA. Image Schema Theory in the framework of cognitive linguistics, the study first makes a detailed analysis of sadness metaphors in Li Bai’s poetry and pays more attention to the English translation of sadness metaphors. The findings show that: sensory image schemas and the SCALE schema are often mapped onto Li Bai’s experience of sadness to metaphorically conceptualize the latter. These two types of image schemas are basically reproduced in translating with the strategies of retaining the original metaphor, converting the original metaphor and paraphrasing the original metaphor
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