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Xlm Roberta Base Ft Udpos28 Orv

Developed by wietsedv
A multilingual POS tagging model based on XLM-RoBERTa, supporting POS tagging tasks for Old East Slavic and other languages.
Downloads 17
Release Time : 3/2/2022

Model Overview

This model is a multilingual POS tagging model based on the XLM-RoBERTa architecture, fine-tuned specifically on the Universal Dependencies v2.8 dataset, with outstanding performance on Old East Slavic.

Model Features

Multilingual support
Supports POS tagging for multiple languages including Old East Slavic.
High accuracy
Achieves 91.0% accuracy on the Old East Slavic test set.
Based on Universal Dependencies dataset
Trained and evaluated using the Universal Dependencies v2.8 dataset.

Model Capabilities

POS tagging
Multilingual text processing
Token classification

Use Cases

Linguistic analysis
Old East Slavic text analysis
Performs POS tagging on Old East Slavic texts.
Achieves 91.0% accuracy.
Multilingual text processing
Handles POS tagging tasks for multiple languages.
Supports POS tagging for over 60 languages.
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