Roberta Small Belarusian
This is a RoBERTa model pretrained on the CC-100 dataset, suitable for Belarusian text processing tasks.
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Release Time : 3/17/2022
Model Overview
This model is a small RoBERTa model specifically designed for Belarusian, capable of masked language modeling and fine-tuning for downstream tasks such as part-of-speech tagging and dependency parsing.
Model Features
Belarusian language support
A pretrained language model specifically optimized for Belarusian.
Compact architecture
Utilizes a small RoBERTa architecture, suitable for resource-constrained environments.
Downstream task adaptation
Can be fine-tuned for various downstream NLP tasks such as part-of-speech tagging and syntactic analysis.
Model Capabilities
Masked language modeling
Part-of-speech tagging
Dependency parsing
Use Cases
Natural Language Processing
Part-of-speech tagging
Performing part-of-speech tagging on Belarusian text
Achieves accuracy comparable to professional tagging tools
Syntactic analysis
Analyzing dependency relationships in Belarusian sentences
Can be used to construct syntax trees
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