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Xlm Roberta Base Ft Udpos28 Lt

Developed by wietsedv
Multilingual POS tagging model based on XLM-RoBERTa, specifically fine-tuned for Lithuanian
Downloads 23
Release Time : 3/2/2022

Model Overview

This model is a POS tagging model fine-tuned on Lithuanian data from Universal Dependencies v2.8 based on the XLM-RoBERTa base model, capable of accurately identifying POS tags in Lithuanian text.

Model Features

Multilingual support
Based on XLM-RoBERTa architecture, capable of handling multiple languages
High accuracy
Achieves 96.1% accuracy on Lithuanian test sets
Universal Dependencies standard
Follows the POS tagging standard of Universal Dependencies v2.8

Model Capabilities

POS tagging
Multilingual text processing
Natural language processing

Use Cases

Natural language processing
Text analysis
Perform POS tagging analysis on Lithuanian text
Accurately identifies nouns, verbs, adjectives, and other POS tags
Linguistic research
Used for Lithuanian grammar research and analysis
Provides accurate POS tagging data
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