Working on Arabic NLP for the past 4 years has taught me that Arabic is one of the richest and most challenging languages to model.
Key challenges:
- Diacritics (تشكيل) — most text doesn't have them, creating massive ambiguity
- Dialects — MSA vs. dialects vs. mixed
- Right-to-left processing in tokenizers
- Morphological richness — one root can produce 50+ words
We're making progress, but Arabic NLP is still 5-10 years behind English. Time to close that gap.
Why Arabic NLP is Harder Than You Think
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