Qur’an Explorer · Research prototype

Mapping Allah’s Beautiful Names

Explore computationally identified co-occurrences, compare pair frequency, and inspect the Arabic verse evidence behind each relationship.

Interactive visualizationComputational patternScholar review: [ADD SCHOLAR REVIEWER]

Research status. The supplied artifact declares quran-simple-clean from alquran.cloud as its source and regex matching as its identification method. Counts, ambiguous-name handling, source version, and licensing still require independent validation before they are presented as reviewed findings.

The diagram includes a table view for a linear representation of the same relationships. Select a ribbon or Name with a pointer, or move through interactive elements with the keyboard.

Methodology & sources

What must be known before a pattern can be trusted.

The artifact’s declared method is documented here alongside the validation work that remains before formal publication.

Qur’anic text source

The supplied artifact declares quran-simple-clean from alquran.cloud. [VERIFY VERSION & LICENSE] Record the exact edition, retrieval date, checksum, verse-boundary scheme, and normalization pipeline.

Name identification

The artifact uses a canonical 99-Name list and regex text matching. Nine forms that may also function as ordinary Arabic vocabulary are explicitly flagged as ambiguous. [REVIEW MORPHOLOGY]

Co-occurrence rule

A pair is counted when both matched forms occur within the same āyah. The artifact explicitly excludes اليوم الآخر as an unrelated fixed phrase sharing a matched form.

Validation & review

[ADD SCHOLAR REVIEWER] Regex matches—especially flagged ambiguous forms—require review. A production dataset should store status, notes, version, and correction history for every relationship.

Displayed evidence

The artifact includes Arabic verse examples and references without a translation layer. Before publication, confirm the Arabic text license and preserve source text separately from normalized matching text.

Interpretive limits

Frequency and co-occurrence are computational observations. They are not theological interpretation and should be taken back to Tafsīr, close reading, and qualified teachers.

Study safeguard. Sedrah AI’s tools are designed to support exploration and study. They do not replace qualified scholarship, Tafsīr, or instruction from knowledgeable teachers.