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Record W4388404145

Translation Process Operators in the Arabic Translation of Alice Munro’s Narrative

2019· article· en· W4388404145 on OpenAlexaboutno aff
Safaa A. Nasser

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsAlice (programming language)ArabicTranslation (biology)NarrativeComputer scienceProcess (computing)LinguisticsNatural language processingLiteratureArtProgramming languageChemistryPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Translating a literary text poses a challenging task for the translator due to the predominance of the expressive and aesthetic functions. To achieve a successful bilingual revision of the literary text, translators employ process operators. The Arabic translations of some of Alice Munro’s short stories are used to exemplify various operations performed by translators during the transfer process. The principal impediments facing these processes include inter-lingual or intercultural inequality, translating Canadian culture-specific concepts or culturally-determined realia and allusions with foreign connotations. Various operators are utilized to locate culture-specific collocations for Canadian/Arabic community and to render the idiolect typifying characters, Excerpts are taken from some of Munro’s narrative, including: Something I’ve Been Meaning to Tell You, Royal Beatings, Carried Away, Chaddeleys and Flemings, Meneseteung, Dulse, Labour Day Dinner and Turkey Season. An evaluation is offered of the stylistic adequacy, aesthetic or cultural acceptability, and verisimilitude, of these Arabic translations.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.674
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.202
GPT teacher head0.511
Teacher spread0.309 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicShort Stories in Global LiteratureFrench-language works237,207