A Study on Translation Methods in Yu Bufan’s Version of Sherlock Holmes Series From the Perspective of Skopos Theory: A Case Study of A Study in Scarlet
Bibliographic record
Abstract
Sherlock Holmes Series as a prominent detective novel has many Chinese translation editions. Among the numerous versions, Yu Bufan’s version is the first single-translator-finished translation of complete works of Sherlock Holmes Series in the history of the Chinese Sherlock Holmes Series ’ translation. He states that this version pursues the beauty of words. By studying the first volume A Study in Scarlet , this paper analyzes the four translation methods applied in this translation version including imitation, free translation, literal translation and idiomatic translation. And this paper is focused on deducing the intention and the effect of using these translation methods under the guidance of three rules of skopos theory. The conclusion is drawn that skopos theory can guide translators’ translation activities. By choosing different translation methods, the translation is full of language beauty and can be well-accepted by its target readers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.017 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".