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Record W3193187847 · doi:10.5430/elr.v10n3p55

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

2021· article· en· W3193187847 on OpenAlexvenueno aff
Yating Zhuo, Min Zhu

Bibliographic record

VenueEnglish Linguistics Research · 2021
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsZhàngMetaphorReadabilityScope (computer science)Computer scienceLiteral translationPerspective (graphical)LinguisticsTranslation (biology)Source textConceptual metaphorConceptual blendingTarget cultureBridge (graph theory)Artificial intelligenceCognitive scienceCognitionPsychologyChinaPhilosophyHistoryProgramming language

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.081
GPT teacher head0.400
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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