What IS i3rbly?
Source: Dev.to
Introduction
For years, Arabic developers have struggled with a problem that almost every tool on the internet ignores:
Arabic is not a language you can “adapt” into existing NLP pipelines. It needs its own architecture, rules, morphology, and understanding. Multilingual LLMs don’t fully understand it, search engines don’t index it correctly, and “AI rewriting” breaks its meaning completely.
So I built i3rbly — an Arabic‑first AI engine designed from scratch to understand, analyze, and process Arabic text with zero semantic loss. This post explains how the system works, why it was built, and how developers can use it today.
🧠 Why Arabic Needs Its Own AI Layer
Arabic comes with challenges you can’t solve with simple tokenization:
- Roots vs. stems vs. patterns
- Multiple meanings per form
- Attached pronouns & clitics
- Morphological ambiguity
- Dialect variations
- Complex syntax
- Diacritics that change meaning entirely
Most AI models transform or distort the meaning when trying to “rewrite” or “summarize” Arabic. i3rbly does the opposite: it preserves 100 % of the meaning while adding structure, clarity, and context.
⚙️ The Architecture Behind i3rbly
i3rbly is built on a three‑layer system:
1. Linguistic Layer (LL)
A rule‑based morphological + syntactic engine that processes Arabic at a structural level:
- Morphology analysis
- Pattern detection
- Root extraction
- Part‑of‑speech mapping
- Syntax dependency
- Ambiguity scoring
This layer creates the “Semantic Skeleton” — a structured representation of the text without altering it.
2. Hybrid AI Layer (HAIL)
Connects embeddings, transformer models, and context analyzers. The AI doesn’t rewrite text — it enhances the linguistic output:
- Context expansion
- Semantic scoring
- Disambiguation
- Zero‑hallucination correction
- Hybrid supervised + LLM reasoning
3. Application Layer
Everything the user sees:
- Deep semantic search
- Zero‑loss rewriting
- Grammar / iʿrāb explanation
- Document intelligence
- Q&A over long texts
- Developer APIs
🔍 Example: Zero‑Loss Rewriting
Most LLMs will rewrite an Arabic paragraph and unintentionally change its meaning. i3rbly ensures:
- Exact meaning
- Identical context
- Identical intent
- Zero semantic drift
This is crucial for:
- Education
- Government documents
- Legal text
- Religious studies
- User‑generated answers
🔥 What Developers Can Do With i3rbly APIs
Integrate Arabic‑native AI into:
- Chatbots
- Search engines
- LMS / learning platforms
- Document processing tools
- Customer service automation
- Quranic / linguistic apps
- Content analysis systems
The API focuses on correctness, not hallucination.
📚 Use Cases
- Arabic Semantic Search Engine – Find meaning, not just keywords.
- Grammar + Syntax Explanation – Arabic sentences explained with clarity.
- Large Document Intelligence – PDF → structured insights, topics, entities, summary.
- AI Writing Without Losing Meaning – Rephrase → same meaning, better clarity.
- Arabic Content Moderation – Detect tone, intent, sentiment, clarity.
🧭 The Vision
i3rbly aims to become the Arabic Intelligence Layer for the AI era. The roadmap includes:
- Arabic embeddings
- Diacritization engine
- LLM fine‑tuned on the Semantic Skeleton
- Developer marketplace
- Enterprise‑grade APIs
✨ Final Thoughts
Arabic deserves tools built for Arabic — not adapted, not approximated. i3rbly is one step toward that goal: an AI engine that finally treats Arabic with the complexity, richness, and structure it deserves.
If you’re a developer working with Arabic NLP, I’d love to hear your challenges — and maybe we can build tools for them together.