Applying Sight Translation as a Means to Enhance Reading Ability of Iranian EFL Students
Bibliographic record
Abstract
Sight translation is the oral translation of a written text and is a mixture of translation and interpreting. Sight translation is a widely-used activity in translation training programs. Yet, this mode of translation has rarely been applied as a reading instruction technique in Iranian EFL instruction context in spite of the growing interest in using sight translation in language teaching and learning. This study aims at investigating the effect of sight translation on the reading comprehension ability of Iranian undergraduate EFL students. This is a quasi-experimental study involving treatment. To this end, four reading comprehension classes involving 70 learners were divided into two groups, with the experimental one receiving reading instruction with sight translation exercises and the control group receiving reading instruction without sight translation exercises. The posttest results revealed that the experimental group performing sight translation exercises in classroom outperformed the control group who had not engaged in sight translation. This study has implications for ELT instructors and learners in an Iranian context as they can use sight translation exercises as an effective technique for improving the reading comprehension ability of their learners.
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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 | 0.001 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".