Why QuranML
A Creator is creative. We approach language with openness to metaphor, depth and discovery—and with responsibility for what we claim and how we act.
For Muslims who value both Qur’anic learning and the study of nature.
Our starting conviction is that the prophets, including Prophet Muhammad (peace be upon him), received knowledge and guidance from Allah. The depth of that guidance cannot be exhausted by a single paraphrase, translation or surface reading. Human language is finite; metaphor, context and patient reflection help us approach meanings that compact words can carry.
Languages evolve. A word’s associations can shift, and a translation may preserve one shade of meaning while losing another. We want to bring deep knowledge of the Qur’an and its scholarly traditions together with linguistic study, profound reflection and informed intuition—while keeping original texts and human interpretations clearly identified.
Observable natural phenomena offer a bridge between a proposed reading and an empirical question. Where a reading suggests a measurable claim, we aim to state a prediction, examine it through fair experiments and reproducible observation, and report evidence for or against that prediction, including inconclusive results. Scientific conclusions stay specific to what was tested.
Our intention is to serve Allah’s will, not to defend human preconceptions.
Why context matters
A word-for-word translation can preserve the vocabulary while losing the human act the words perform: affection, emphasis, grief, irony or a wish for good luck. The same sentence may sound menacing outside the relationship and culture that make its meaning recognizable.
A Creator is creative.
A striking Persian example
“Let me eat your liver.”
جیگرتو بخورم
In an affectionate Persian exchange, this can convey “I adore you.” Read as a record of an action—or a command to repeat one—the same words could suggest something horrifying. The danger lies in losing what the expression is doing in its context.
Six examples · Three languages
These examples are deliberately unsettling when read literally. The descriptions below identify particular attested uses, not meanings that every speaker must intend in every situation.
Persian · contemporary colloquial use
جیگرتو بخورم
Jigareto bokhoram
Persian · affectionate or courteous address
قربونت برم
Qorbunet beram · formal: qorbânat beravam (قربانت بروم)
Innovative Language, “Using endearment phrases when requesting something” · Moin dictionary: قربان
Levantine Arabic · modern affectionate usage
تقبرني
Taʾborni · pronunciation varies by dialect
Classical Arabic · a report and its cited commentary
ثَكِلَتْكَ أُمُّكَ
Thakilatka ummuka
Jāmiʿ al-Tirmidhi 2616 · ʿAbd al-Karim al-Khudayr, Arabic commentary
Classical Arabic · conventional esteem and devotion
فَدَاكَ أَبِي وَأُمِّي
Fadāka abī wa-ummī
Ṣaḥīḥ al-Bukhari 6184 · Al-Saffarini, Ghidhāʾ al-albāb, vol. 1, p. 298
English · a wish before a performance
Break a leg!
A familiar English comparison
The English glosses are brief explanations, not interchangeable translations for every setting. Persian also uses heart imagery; the liver example does not replace that wider vocabulary.
Across time, place and language
Imagine an affectionate expression crossing a thousand years, several countries, languages and cultures. A later reader encounters only “Let me eat your liver.” They mistake an expression for a record of an act, then mistake that supposed act for something a devoted person should imitate. An expression of love has become an imagined duty to harm.
Devotion makes careful understanding more important. Before concluding “This is what the Prophet did, so I should follow,” a reader needs to establish what the report actually says and how its language functions.
Meaning lives in relationships: a word within a sentence, a sentence within a conversation or genre, and each within a culture and a web of other passages. Attentive reading keeps those layers in view.
Each Qur’anic verse or prophetic report needs its own evidence. Modern idioms illustrate a risk in reading; they do not prove that any particular sacred passage is figurative. Nor does identifying one metaphor make a whole report metaphorical.
Understanding carries spiritual responsibility
A misleading translation can distort what a reader understands about belief, obligation or permissibility. The Sunni guidance cited here distinguishes sinful disobedience from rejecting faith, and recognizes the relevance of error, ignorance and mistaken interpretation. A failure through weakness and a deliberate rejection are not interchangeable descriptions.
Scholars discuss kufr (disbelief) and terms such as the following. These short glosses introduce the cited discussions; they are not a test for classifying people.
كفر العناد
Obstinate rejection of the truth or authority of the prophetic message despite recognizing it. This concerns rejection of faith, rather than weakness in obeying an obligation one accepts as binding.
استحلال
Regarding something as religiously lawful. The grave doctrinal discussion concerns knowingly declaring a clear, established prohibition lawful, with qualifications concerning knowledge, interpretation and circumstances. Committing a prohibited act does not by itself establish that belief.
كفر الإعراض
Turning away from the message and foundations of faith. The cited explanation distinguishes this from a Muslim’s lack of advanced religious study; it is not simply another word for laziness.
A translation error is not automatically one of these forms of disbelief. Scholars differ on particular acts and cases, and individual judgments require conditions, evidence and qualified scholarship. QuranML supports study and correction; it does not issue fatwas (religious legal opinions) or judge anyone’s faith.
Egypt’s Dar al-Ifta: definitions and qualifications · Ignorance and error · Saleh Al Sheikh: iʿrāḍ · International Islamic Fiqh Academy, resolution 208
Sources and attribution
The linguistic examples are summarized from the following references. Classical Arabic report explanations are attributed to the cited Sunni commentary; contemporary Levantine usage is not presented as evidence of an ancient origin.
Research checked 10 November 2026. The article and dictionary examples are paraphrased; no complete report, article or source text is reproduced here.
Intuition can open a question. Careful reading, explicit methods and observable evidence help us investigate it. Machine learning proposes possibilities; people remain responsible for interpretation.
Keep the original text, edition, source and translation distinct.
Study language, metaphor, recurring expressions and mathematical relationships.
Turn a measurable proposal into a clear prediction, with stated controls.
Report evidence, counterexamples, uncertainty and the limits of each conclusion.
The fingerprint idea
We want to investigate whether combinations of named Abjad letter-value profiles can serve as useful numerical fingerprints for comparing textual patterns. Their sensitivity to changes and their rate of coincidental matches must be tested. Different texts can share Abjad values; a matching profile alone does not verify that a text is unchanged.
For exact source files, QuranML records SHA-256 checksums alongside edition and provenance. SHA means Secure Hash Algorithm: a cryptographic function produces a fixed-length digest used to check data for changes. This helps us verify the integrity of our working sources. A checksum does not establish an interpretation’s truth.
NIST: cryptographic hash functions · Our current Abjad methods and conventions
QuranML aims to use machine learning to explore deeper meanings and hidden connections in the Qur’an. Built for Muslims pursuing knowledge (‘ilm) and thoughtful reflection on the Qur’an (tadabbur), it brings attentive reading together with transparent research tools.
This Alpha offers a source-attributed reading of Al-Fatihah, a transparent letter-value study aid, personal reading preferences, notes, and calendar converters. Wider reading, search, scholarly Qur’an explanation (tafsir), and transmitted reports (hadith) are in development. Each keeps its own sources and scholarly context.
We approach the Qur’an, the Prophet’s example and practice (Sunnah), and the rich traditions of tafsir with adab and amanah: respectful conduct, trust, and responsibility for what is entrusted to us. Texts, translations, and scholarly explanations keep their own identities and attributions, so that learning stays connected to its sources.
Qur’anic text, translations, scholarly explanation (tafsir), and transmitted reports (hadith) are distinct kinds of material. Each reading should name its edition, version, and source.
Attentive reading makes room for context, reflection, questions, and learning from trusted scholarship.
Follow a text to its source, understand which translation you are reading, and see the methods behind each study tool.
You do not need to know Arabic terminology to begin. We explain study terms in English while keeping their Islamic context.
QuranML is a faith-inspired Alpha research project exploring deeper Qur’anic meaning through language, machine learning, mathematical patterns and testable questions about nature. The homepage previews planned tools. Current tools include Al-Fatihah, personal browser study notes, an Abjad calculator and nine calendar converters.
Read the seven verses (ayat) of Al-Fatihah in Arabic and the Rowwad English translation. Adjust the reading appearance, bookmark verses, save personal notes on this browser, export or import your study file, share a verse link, or send an Arabic selection to Abjad. The calendar converts all nine systems, including Hebrew and Hijri. Source editions and calculation methods are named.
The public reading preview covers Al-Fatihah. The wider reader, search, scholarly Qur’an explanation (tafsir), and transmitted-report (hadith) tools are in development. Indexed material in local development is not a claim of complete or accepted public editions.
The implementation plan scopes Arabic Quran text and editions or translations in Hebrew, English, French, German, Persian, and Spanish. The current public reading preview is Arabic and English; the broader language scope is planned.
No. QuranML is a source-led tool for study. It does not issue religious rulings or replace qualified teachers and scholarly learning.
Planned tools will explore roots, wordplay, recurring expressions, parallel passages, letter sequences, structure and semantic connections. Models propose candidates. Where a proposed interpretation makes a measurable claim about nature, we aim to test that prediction with explicit methods and report the evidence and its limits. Human readers interpret meaning.
Our motivation is faith and the desire to understand Allah’s guidance and creation. Observable natural phenomena can connect a proposed interpretation to a testable empirical question. Evidence for a specific prediction is assessed within its stated scope; faith, interpretation and scientific findings remain clearly identified.
Abjad profiles are numerical research measurements whose proposed fingerprint uses need evaluation. Different texts can share Abjad values. Exact source-file integrity is checked separately with SHA-256 and a recorded source baseline. A number or checksum does not establish an interpretation’s truth.
No. They illustrate why wording needs context. Any claim about a particular Qur’anic verse or prophetic report needs its own linguistic, textual and scholarly evidence.
No automatic conclusion follows. The cited scholarly discussions distinguish error and interpretation from deliberate rejection and apply conditions to individual judgments. QuranML does not issue fatwas (religious legal opinions) or judge anyone’s faith.
Language, sources, interpretation and testable questions shape the research roadmap.
Explore the planned research tools ↗