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omarkamali
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https://omarkama.li

AI & ML interests

NLP & LLMs for low resource languages.

Recent Activity

repliedto their post 1 day ago
Just sharing a little breakthrough with Gherbal LID where we managed to distinguish the 15 variants of Arabic with 6 variants above 90%, 10 variants above 85% accuracy, practically distinguishing Moroccan and Algerian (which overlap massively). It also embraces the duality of MSA and arabic variants pioneered in ALDi by @AMR-KELEG et al. Now we're only bottlenecked by the availability of high quality data for the low scoring variants such as Iraqi, Libyan, Sudanese, Adeni ... More on Gherbal at: https://omneitylabs.com/models/gherbal
posted an update 1 day ago
Just sharing a little breakthrough with Gherbal LID where we managed to distinguish the 15 variants of Arabic with 6 variants above 90%, 10 variants above 85% accuracy, practically distinguishing Moroccan and Algerian (which overlap massively). It also embraces the duality of MSA and arabic variants pioneered in ALDi by @AMR-KELEG et al. Now we're only bottlenecked by the availability of high quality data for the low scoring variants such as Iraqi, Libyan, Sudanese, Adeni ... More on Gherbal at: https://omneitylabs.com/models/gherbal
new activity 1 day ago
arbml/PADIC:Dataset Convention
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