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Record W3194969595 · doi:10.3968/12211

A Study of Translation Process Based on the Cognitive Psychology

2021· article· en· W3194969595 on OpenAlexvenueno aff
Yushan Zhao

Bibliographic record

VenueHigher education of social science · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionProcess (computing)Cognitive psychologyComprehensionCognitive scienceComputer scienceMeaning (existential)Information processing theoryPerceptionScope (computer science)PsychologyLinguisticsInformation processing

Abstract

fetched live from OpenAlex

The research trend of translation process is to describe the internal psychological mechanism of the translator. Some cognitive psychology concepts are often used in the study of translation process. Therefore, it is important to explain the concepts related to the study and explain how these concepts are applied to the study of translation psychology. Cognitive psychology is a discipline that studies how people learn, store and use knowledge. Its research scope includes attention, perception, memory, thinking, problem solving, speech and cognitive development. Some people think that translation is just a process of reproducing the original text in another language while preserving the original meaning as much as possible, but the cognitive psychology method helps eliminate this misunderstanding for every experienced translator knows that translation is more than reproducing the original text. This paper focuses on the information processing theory in the comprehension process of translation: top-down and bottom-up information processing models; short-term and long-term memory; decision-making and problem solving to make more translators understand the translation psychology of translators in the translation process, so as to better improve the translation quality.

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 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: none
Teacher disagreement score0.692
Threshold uncertainty score1.000

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)0.0010.000

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 head0.138
GPT teacher head0.421
Teacher spread0.282 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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