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On the Stylistic Characteristics of James Legge’s Translation of Lun Yu

2010· article· en· W1748920064 on OpenAlexvenueno aff
Fang Zhu

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsStyle (visual arts)PhilosophyHumanitiesArtLiterature

Abstract

fetched live from OpenAlex

Closeness in style has always been the highest standard or the supreme goal of translation. A successful translation of Lun Yu is inseparable from the preservation of its original style. This paper examines whether James Legge’s translation of Lun Yu reproduced the original style from the linguistic point of view and the literary point of view respectively. A careful comparative study on the source text and the target text reveals that the stylistic features of Lun Yu have been preserved in Legge’s version in a considerable degree. This pioneer, and at the same time standard translation by Legge has provided us with so many good and useful translation techniques as well as enlightenment that it will continue to benefit the development of translation theory and practice. Key words: Lun Yu; translation; styleResume: La proximite de style a toujours ete le standard le plus eleve ou le but supreme de la traduction. Une traduction reussie de Lun Yu est indissociable de la preservation de son style original. Cet article examine si la traduction de Lun Yu de James Legge a reproduit le style original du point de vue linguistique et litteraire respectivement. Une etude comparative soigneuse sur le texte source et le texte cible revele que les caracteristiques stylistiques de Lun Yu ont ete conservees dans la version de Legge a un degre considerable. La traduction standard de Legge nous a fourni tant de techniques de traduction de qualite et utiles ainsi que de l’eclaircissement qu'il continuera de beneficier au developpement de la theorie de la traduction et de la pratique.Mots-Cles: Lun Yu; traduction; style

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score0.463

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 studies0.0000.001
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 head0.036
GPT teacher head0.299
Teacher spread0.263 · 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 designTheoretical or conceptual
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
Published2010
Admission routes1
Has abstractyes

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