Bibliographic record
Abstract
It is usually believed that the translation is just a lingual transformation between two different languages but that is a wrong perception because translation plays the role of a lingual, literary and cultural bridge, at the same time, between the diverse human languages. While this reality has been acknowledged now and several linguists and translators have contributed to the development of this concept since the mid-20th century. The translation studies specialize in the same field and its borders have expanded now to a number of other related and overlapping fields of knowledge. As far as the Equivalence, Domestication and Foreignization are concerned; these are considered among the most preferred strategies for translation between two languages belonging to two totally different civilizations. The translation of contemporary Arabic novels into other languages especially the English language has attracted much attraction during the last few decades, while the Egyptian writer Alaa Al-Aswany is one of those contemporary Arab novel writers whose popularity has reached the non-Arab countries and especially the English-speaking countries of the world because most of his novels have been translated into the English. Especially, The Yacoubian Building is considered among the best sellers in the world that was translated by Humphrey Davies, the British translator, in 2004. The following lines would elaborate traits of the equivalence, domestication and foreignization prevailing over the English translation of the said famous Arabic novel and that would be done through the morphological and semantic analysis of the examples selected from the source and target texts.
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.983 | 0.985 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".