Emphatic Italics in English Translations: Stylistic Failure or Motivated Stylistic Resources?
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
This article argues that emphatic italics, a typographic feature regularly ignored by linguists and associated with poor style, have an important stylistic function in English, often working in implicit association with prosodic patterns in spoken language to signal marked information focus, thus fulfilling an important role in information structure and adding a conversational and involved tone to written texts. Emphatic italics are more common in English than in other languages because tonic prominence is the preferred means of marking information focus in English, while other languages use purely linguistic devices, such as word order. Thus arises the question of what happens in English translations from and into other languages. The study presented here looks at results obtained from a bidirectional English-Portuguese corpus (COMPARA) which suggest that italics may be less common in English translations from Portuguese than in non-translated English texts. This trend could potentially be explained by the use of common features of translated language, in particular explicitation and conservatism (also known as normalization). However, a closer look at the work of particular translators shows that the avoidance or use of italics is not a consistent feature of translations and may be a characteristic feature of the stylistic profile of certain translators.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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