Ernest Hemingway’s Idiosyncratic Style and Its Reflection in Russian Translation
Bibliographic record
Abstract
The creative legacy of great American modernist writer Ernest Hemingway presents a huge interest both for the linguists and literary critics. His books have been translated into a great majority of languages, his creative activity and personal style of writing has been investigated by literary critics and linguists at different times, his life and personality has been described extensively by his biographers, researchers and people who knew him personally. Nevertheless, both his biography and the value of his literary works have always been the object of debates. Scholars have always argued about the linguistic value of his style of writing; for some linguists Hemingway’s style seemed too simple to be analysed. Others, and they are in majority, find his style complicated, idiosyncratic and heterogeneous with the very peculiar choice of language means. Therefore, translation of Hemingway’s stories and novels creates challenges for translators trying to achieve the greatest degree of adequacy. Contrary to the opinion of some scholars and critics, such as D. H. Lawrence, Louis Kronenberger, Schuyler Ashley and others, Hemingway’s prose is rich in figures of speech, such as metaphor, metonymy, repetition, simile and others. While translating Hemingway’s prose into Russian, the translators managed to find the adequate solution to the stylistic difficulties of the original by means of resorting to analogue translation, compensation and other techniques analysed in this article. The article focuses on revealing the linguistic and cultural complexity of adequate transformation of Ernest Hemingway’s short stories into Russian, paying special attention to his unique style. The article also emphasizes the fact of neutralization and decoration of some original phrases used by translators into Russian which didn’t affect the level of adequacy of the target text.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".