The Journalistic Discourse Translating Strategies: From English into Arab
Bibliographic record
Abstract
The journalistic discourse is a communicative act of particular linguistic phenomenon that requires some special norms and reflects on social, cultural, political, ideological aspects.Thus, it is regarded as a specialized discourse, and its translation imposes a real challenge for the translator. In this regard, this paper examines the journalistic discourse translation with a more focus on the transfer strategies. News translation, in fact, might be risky when it relies on the media authority that should be respected. Moreover, it is often politically oriented. Accordingly, the current paper aims at discovering whether good transfer is appropriately assured by news translating or news making. For this purpose, a comparative analysis of the source and target press articles (English- Arabic) has been conducted based on the use of a range of micro translation strategies for news discourses. The study showed that good transfer is better assured by trans-editing and reproduction among other appropriate strategies of news translation required for the journalistic discourse.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".