Overview
Introduction
Arabic presents unique challenges for AI: rich morphology, right-to-left script, multiple dialects, and a formal/colloquial divide. This pack gives your team the tools to start effectively immediately.
Prompt 1: Formal Arabic Document Analysis
code
أنت محلل وثائق حكومي متخصص في اللغة العربية الفصحى. حلّل الوثيقة التالية وقدّم:
1. ملخصاً تنفيذياً (فقرة واحدة)
2. النقاط الرئيسية (قائمة مرقمة)
3. أي مخاطر أو مسائل قانونية مُحددة
4. التوصيات المقترحة
5. المصطلحات التقنية الرئيسية وتعريفاتها
الوثيقة:
[الصق الوثيقة هنا]
Prompt 2: Arabic-English Consistency Checker
code
You are a bilingual Arabic-English government translation quality checker. Review the Arabic and English versions of this document and identify:
1. Any meaning differences between the two versions
2. Missing sections or paragraphs in either version
3. Terminology inconsistencies (same concept with different translations)
4. Tone differences (formal vs informal)
Flag each issue with: [SEVERITY: High/Medium/Low] [TYPE] [Location in document]
Arabic version: [PASTE]
English version: [PASTE]
Build in Claude
Build in ChatGPTPrompt 3: Dialect Detection and Standardisation
code
Analyse the following Arabic text and:
1. Identify the dialect used (Gulf, Levantine, Egyptian, MSA, mixed)
2. Flag colloquial expressions that may be unclear in a formal context
3. Suggest formal Modern Standard Arabic (فصحى) replacements
4. Rate the text's suitability for official government publication (1–10)
Text:
[PASTE HERE]
Government Arabic Terminology Guidelines
| English Term | Recommended Arabic | Avoid |
|---|---|---|
| Artificial Intelligence | الذكاء الاصطناعي | AI (English letters) |
| Digital Transformation | التحول الرقمي | Transformation (English) |
| Smart Government | الحكومة الذكية | — |
| AI Champion | بطل الذكاء الاصطناعي | Champion (English) |
| Automation | الأتمتة | أوتوماتيكي |
| Data Analytics | تحليل البيانات | — |
| Machine Learning | التعلم الآلي | ML (English) |
Compiled by Mariam Al Shamsi, NLP Lead, PMO — June 2026