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Record W4401153787 · doi:10.5539/ells.v14n3p27

Kenneth Rexroth’s Translation of Du Fu Poetry from the Perspective of Functional Equivalence Theory

2024· article· en· W4401153787 on OpenAlexvenueno aff
Daoyu Huang, Chang Liu

Bibliographic record

VenueEnglish Language and Literature Studies · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryTranslation studiesEquivalence (formal languages)Literal translationDynamic and formal equivalencePerspective (graphical)LinguisticsFunctional equivalenceLiteraturePhilosophyComputer scienceArtSource textArtificial intelligenceMachine translation

Abstract

fetched live from OpenAlex

Kenneth Rexroth, a well-known American poet and translator, has contributed to Du Fu poetry translation in the Western society. From the perspective of Nida’s functional equivalence theory, this research takes Rexroth’s English translations of Du Fu poems as a case to study the translation strategies adopted by Rexroth. This explores translation strategies of Du Fu poetry from the perspective of functional reciprocity theory, and is supposed to provide references for the English translation of the ancient Chinese poetry in the future. The above examples all reflect the faithfulness and accuracy of the free translation under the theory of functional equivalence, and accurately express the connotation of the original poem. Above all, the translator has adopted literal translation when translating the above verse. in order to achieve the requirement of the theory of functional equivalence, which enabled the target readers to have the same experience as the original readers. This was the most fundamental purpose of using the literal translation here.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

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

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 head0.026
GPT teacher head0.274
Teacher spread0.248 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

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