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Record W2095047693 · doi:10.7202/016073ar

Figurative Language in Translation: A Study of J.P. Clark’s The Ozidi Saga

2007· article· en· W2095047693 on OpenAlexvenueno aff
Diri I. Teilanyo

Bibliographic record

VenueMeta Journal des traducteurs · 2007
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsLiteral and figurative languageTarget textSource textLinguisticsFidelityEquivalence (formal languages)Computer scienceDynamic and formal equivalenceCode (set theory)LiteratureMachine translationPhilosophyArt

Abstract

fetched live from OpenAlex

The interlingual translation of figurative expressions and idioms is a particularly sensitive task, especially in literary texts where the figurativeness of the language is an inalienable part of the text as a literary piece. Since modern thinking on translation favours fidelity to the source text, the translator is required to maintain – rather than improve, reduce or otherwise alter – the figurative texture of the source text in the target text. In this paper, we investigate the felicity of J.P. Clark’s Izon-English translation in his The Ozidi Saga . We point out that felicitous as Clark’s translation is in general, there are noticeable cases of improvement, impoverishment and alteration, alongside full equivalence, in the figurative texture of the translation when viewed against the Izon text by a sensitive Izon- English bilingual. From this we argue that any form of alteration is a literary disservice to the source text, the source culture and the target audience. We propose that the literary translator should do his utmost to retain the figurative level of the source-text language in the target text, even if this involves literalism and some other violation of the basic code of the target language while annotations and glossaries may be freely employed.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.063
GPT teacher head0.336
Teacher spread0.273 · 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 designObservational
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

Citations9
Published2007
Admission routes1
Has abstractyes

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