A multi-head attention model for Russian morphological tagging supports open dictionaries via subtoken splitting and reports 98-99% accuracy on grammatical categories while running efficiently on consumer hardware.
Available at: https://github.com/UniversalDependencies/UD Russian-Taiga
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A Multi-head-based architecture for effective morphological tagging in Russian with open dictionary
A multi-head attention model for Russian morphological tagging supports open dictionaries via subtoken splitting and reports 98-99% accuracy on grammatical categories while running efficiently on consumer hardware.