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Record W2546816144 · doi:10.3968/8856

A Study of Film Title Translation From the Perspective of Peter Newmark's Communicative Translation Theory

2016· article· en· W2546816144 on OpenAlexvenueno aff
Ailan Ding

Bibliographic record

VenueStudies in literature and language · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Translation (biology)Translation studiesValue (mathematics)Computer scienceLinguisticsSociologyArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

Film is a popular art form, and it is a useful tool of intercultural communication. As the brand of a film, film title can help audiences have a better understanding of the content of the film. A good translated film title should not only achieve its commercial value, but also can bring audiences to aesthetic experiences when they watching the film. Hence, the film title translation is so important. This thesis tries to use Peter Newmark’s communicative translation theory to study the methods of film title translation. In communicative translation, the translators should try to produce the same effect on the target readers as is produced by the original text on the source readers. The author put forward that, when use communicative translation theory to guide the film title translation, the translators must follow three criteria: a) the translation should be target-language-oriented; b) the translation should be aesthetic; c) the translation should be consistent with the content of the film.

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 score0.805
Threshold uncertainty score0.190

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 head0.062
GPT teacher head0.337
Teacher spread0.275 · 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

Citations7
Published2016
Admission routes1
Has abstractyes

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