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Roberta Base Ukrainian Upos

Developed by KoichiYasuoka
RoBERTa model pretrained on Ukrainian UberText corpus, specialized for POS tagging (UPOS) and dependency parsing tasks
Sequence Labeling
Transformers
 Other#Ukrainian POS tagging#Dependency parsing#RoBERTa pretraining
Downloads 25
Release Time : 3/9/2022

Model Overview

This model is a natural language processing model for Ukrainian, mainly used for POS tagging and dependency parsing tasks. It is based on the RoBERTa architecture and pretrained on the Ukrainian UberText corpus.

Model Features

Ukrainian-specific
Natural language processing model specifically optimized for Ukrainian
POS tagging
Accurately tags universal POS labels for each word in Ukrainian text
Dependency parsing
Supports dependency parsing of Ukrainian sentences
Based on RoBERTa architecture
Utilizes the powerful RoBERTa pretrained model as foundation

Model Capabilities

POS tagging
Dependency parsing
Ukrainian text processing

Use Cases

Natural Language Processing
Ukrainian text analysis
Perform POS tagging and syntactic analysis on Ukrainian text
Obtain POS tags for each word and sentence structure information
Ukrainian language teaching aid
Used for grammatical analysis in Ukrainian learning and teaching
Helps learners understand Ukrainian grammatical structures
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