Distil Slovakbert Upos
A Slovak POS tagging model fine-tuned on Universal Dependencies sk_snk dataset based on distil-slovakbert
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Release Time : 3/5/2022
Model Overview
This model is designed for Slovak part-of-speech tagging tasks, achieving outstanding performance on the Universal Dependencies sk_snk dataset.
Model Features
High-precision POS tagging
Achieves 97.78% F1 score on Slovak POS tagging tasks
Lightweight model
Distilled version based on DistilSlovakBERT, reducing model size while maintaining performance
Domain-specific optimization
Specially fine-tuned on Universal Dependencies dataset, suitable for linguistic research and NLP applications
Model Capabilities
Slovak POS tagging
Text token classification
Sequence labeling
Use Cases
Natural Language Processing
Text preprocessing
Provides POS tagging preprocessing for downstream NLP tasks
Improves accuracy of subsequent tasks like syntactic parsing and named entity recognition
Linguistic research
Used for Slovak grammar analysis and linguistic phenomena studies
Provides accurate POS tagging data support
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