bert-base-russian-upos Open-source Model - Free for Russian Part-of-Speech Tagging and Dependency Syntax Analysis

Bert Base Russian Upos

Developed by KoichiYasuoka

BERT model pre-trained on UD_Russian for Russian POS tagging and dependency parsing

Downloads 87

Release Time : 3/13/2022

Model Overview

This model is a BERT model pre-trained on rubert-base-cased, specifically designed for Russian POS tagging (UPOS) and dependency parsing tasks.

Russian-specific model

BERT model optimized specifically for Russian, providing accurate POS tagging and syntactic analysis

Based on Universal Dependencies

Annotated using Universal Dependencies (UD) standards to ensure consistency and universality

Fine-tuned pre-trained model

Fine-tuned on the rubert-base-cased pre-trained model, leveraging pre-trained language representations

POS tagging

Dependency parsing

Russian text processing

Natural Language Processing

Russian text analysis

Perform POS tagging and syntactic analysis on Russian text

Obtain POS tags for each word and dependency relationships in the sentence

Linguistic research

Used for studying and analyzing Russian language structures

Provides standardized linguistic annotation data

Property	Details
Model Type	BERT for token - classification
Training Data	universal_dependencies

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