An Analysis of Translation Errors: A Case Study of Vietnamese EFL Students
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The study aimed to analyze the translation errors committed by Vietnamese EFL students, and identify the source of errors, then inform some implications of pedagogy to improve the translation ability of the students. To this end, 36 Vietnamese students, who at the time of the study were studying English as their major, were subjected to a Vietnamese-English translation test. Translation errors were analyzed using a threefold perspective proposed by Popescu (2012) including linguistic errors, comprehension errors, and translation errors. Findings showed that translation errors and linguistic errors are the most common errors, of which errors related to lexical choice, syntax and collocations are the most frequently committed by the students. The source of the errors could be attributed to inter-lingual, intra-lingual interference or errors can be the integration of the source. Results were discussed and implications for the improvements of translation ability and recommendations for future research were presented.
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.
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 | 0.003 |
| 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 | 0.001 | 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 it