The Translatability of Interjections: A Case Study of Arabic-English Subtitling
Bibliographic record
Abstract
This paper examines the translatability of Arabic interjections into English subtitling, illustrated with a subtitled Egyptian film, State Security subtitled by Arab Radio and Television (ART). Theoretical framework regarding both Audiovisual Translation (AVT) and interjections is first discussed. The significance of interjections is approached from the perspective of technical and translation paradigms. The study shows that although technical issues limit the subtitler’s choices, they have very little to do with translating interjections because they are typically short words. With regard to translation, the study shows that the subtitler may opt for three major translation strategies: 1) an avoidance of source language (SL) interjection whereby a SL interjectional utterance is translated into a target language (TL) interjection-free utterance; 2) a retention of SL interjection in which SL interjection is rendered into a TL interjection; and 3) an addition of interjection whereby SL interjection-free utterance is translated into a TL interjection.
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 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".