Translation Model and Dissemination of Contemporary Chinese Ethnic Literal Works Into the World: An Analysis on English Translation of The Last Quarter of the Moon by American Translator Bruce Humes
Bibliographic record
Abstract
This study aims to investigate the English translation model and strategy of contemporary Chinese literary masterpiece The Last Quarter of the Moon (2005), taking Nord’s translation-oriented text analysis as a theoretical tool. The paper is composed of the translation commission, the role of ST analysis and hierarchy of translation problems, including the basic information about the writer, the original book, the English translation and the translator. Comparison of the ST with its English TT in terms of aspects of language, culture and communication will be discussed. Specifically, this paper explores the translation strategies that the translator has adopted at the linguistic level in translating Evenki proper nouns and idiomatic expressions, the dialogue of main characters, figures of speech, then explores the translation strategies of rendering Evenki folk customs, sacrifices, totemism and ceremonies from the aspect of ethnic culture. The study shows much importance is attached to the linguistic features and cultural connotations of the original work both at the linguistic and cultural level. The translation accurately and faithfully conveys the essence of the novel, successfully attracts the attention of western readers and promotes the spread of Evenki culture. The translation also makes a comprehensive analysis of the surface and deep meanings of the original text, effectively conveys the theme of the original work, and further promotes the “going out” of ethnic literature to the world.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".