Introduction and Analysis of Five Urdu Verse Translations of the Holy Qur’ān
Bibliographic record
Abstract
This research article gives a brief introduction and analysis of five Urdu translations of the Holy Qur’ān. Qur’ānic translations are an important source of learning and understanding of Qur’ān. In Urdu the translations of the Holy Book started in late 16th Century A.D. The number of these translations is in hundreds till now, which include translations in Urdu prose and verse. The first rhymed Urdu translation of the Holy Quran was written in the last quarter of 18th Century A.D. At present these translations are in hundreds, including complete as well as partial translations. Most of the translations are in rhymed form, while some are in free verse also. In this article five complete Holy Qur’ān translations have been discussed. Main aim of the article is to introduce the poets and their translations, as well as brief analysis of the translations. The translations are; Asar Zubairi Lakhnavi's "Sehr ul Bayan", Syed Shamim Rajz's "Aab e Rawaan", Seemab Akbar Abadi's "Wahi e Manzum", Abdul Aziz Khalid's "Furqan e Javed" and Qazi Ata ullah's "Mafhoom ul Quran". This article also explains how much the poets succeeded in presenting the message of Qur’ān. The merits and demerits of the translations have been highlighted. The article concludes that poetry, specially rhymed form, is not suitable for the translations of the Holy Book.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".