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#050

RuBERT fine-tuned for Tatar Morphological Analysis

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This model is a fine-tuned version of DeepPavlov/rubert-base-cased for morphological analysis of the Tatar language. It was trained on a subset of 80,000 sentences from the Tatar Morphological Corpus. The model predicts fine-grained morphological tags (e.g., N+Sg+Nom, V+PRES(Й)+3SG).

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