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A Study on the Metaphor Translation Strategies in Selected Modern Chinese Essays 1 by Zhang Peiji from the Perspective of Conceptual Blending Theory

Bibliographic Data

ID21831516
AuthorsYating Zhuo (Zhejiang University of Science and Technology), Min Zhu (0009-0004-6196-8661, Zhejiang University of Science and Technology)
Year2021
Volume10
Issue3
Pages55
Publication date2021-08-12
Open AccessYes
TypeARTICLE
VenueEnglish Linguistics Research (JOURNAL)
Journal identifiersISSN: 1927-6028 • E-ISSN: 1927-6036
PublisherSciedu Press (PUBLISHER • CA)
DOI10.5430/elr.v10n3p55
OpenAlexW3193187847
LanguageEN
References cited1

According to the analytical framework of the three basic network models in Conceptual Blending Theory, this thesis dynamically presents the metaphor translation process and the choice of translation strategies in Selected Modern Chinese Essays 1 translated by Zhang Peiji. The study finds out that in Mirror Network Model, Zhang usually adopts literal translation while preserving the metaphorical image since the original metaphor shares the same organizational framework in both source culture and target culture; when it comes to One-scope Network Model, a majority of metaphorical images are omitted to achieve better readability while still some others are preserved to spread Chinese culture and introduce more cognitive models to target readers. And in both ways, paraphrases are added to deepen target readers’ understanding of the source text; with regard to Two-scope Network Model, Zhang mainly adopts the translation strategy of replacement with metaphors that accord with the target language, which enables him to build a bridge between the cultures of the source language and the target language

China · Cognition · Cognitive science · Conceptual Blending · Conceptual metaphor · Linguistics · Literal translation · Metaphor · Programming language · Readability · Source text · Target culture · Zhàng · Computer Science · History · Language, Metaphor, and Cognition · Philosophy · Psychology · Translation Studies and Practices · Artificial Intelligence

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    Open Access•Gilles Fauconnier, Mark Turner•Cognitive Science•1998

Highly citedNo

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