MohammedAly22/Tasneef

A state-of-the-art Arabic part-of-speech tagger leveraging the XLMR transformer model With an impressive testing accuracy of 97.49% and a remarkable testing F1-score of 96.44% on the Arabic UD Treebank.

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Experimental

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Last pushed

Mar 24, 2024

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