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Record W1929422221 · doi:10.3968/4493

A Study on English-Chinese News Translation From the Perspective of Functionalism

2014· article· en· W1929422221 on OpenAlexvenueno aff
Xuedong Shi

Bibliographic record

VenueCross-cultural communication · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsFunctionalism (philosophy of mind)Structural functionalismDynamic and formal equivalenceLinguisticsTranslation studiesTypologyEpistemologySociologyPhilosophyMachine translation

Abstract

fetched live from OpenAlex

This paper focuses on the analysis of journalistic translation from the perspective of Functionalism. Functionalism is supposed to be a theoretic system with various translating standards led by the targets. It consists of the typology theory of text, the Skopostheorie, the theory of translation action and a series of approaches by Nord on the improvement and supplements of those theories. Functionalism escapes the bounds of equivalence by challenging the traditional translation theories highlighting the texts. It analyses the translation action not only by the linguistics but also within the frame of Act Theory and Tran Cultural Theory. Thus, the Functionalism, by which the translators could pay more attention to the readers as well as the social effects and the communicative function, could appeal to the practice better. The Functionalism introduces a brand new thinking to the study of translation. This paper focuses on coping with the practical problems of news translation on the basis of Nord’s approaches with a news report as a study case. After that, it will review the official translation edition to reach a conclusion.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.709
Threshold uncertainty score0.714

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.083
GPT teacher head0.356
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.

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

Citations3
Published2014
Admission routes1
Has abstractyes

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