Intralingual Translation and Its Place within Translation Studies – A Theoretical Discussion
Bibliographic record
Abstract
Roman Jakobson’s tripartite typology of translation is accepted by many translation scholars as a broad definition of translation and is frequently included in the beginning of textbooks introducing Translation Studies. However, when it comes to the research carried out within Translation Studies, focus is overwhelmingly set on interlingual translation, or translation proper. A few scholars explicitly argue against the inclusion of intralingual and intersemiotic translation in a definition of translation whereas some provide arguments or discussions of concepts central to Translation Studies which explain the marginal status of intralingual and intersemiotic translation. The aim of this article is to review these arguments and to discuss the place of intralingual translation within Translation Studies. On this basis, the article suggests a criterial definition of translation to be used for scientific purposes within the field of Translation Studies, a definition which fully includes intralingual translation.
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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 | 0.029 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.008 | 0.063 |
| Scholarly communication | 0.019 | 0.025 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".