S

Stanza Ru

Developed by stanfordnlp
Stanza is a precise and efficient multilingual analysis toolkit that provides text analysis capabilities for Russian.
Downloads 6,089
Release Time : 3/2/2022

Model Overview

The Stanza Russian Model offers natural language processing capabilities from raw text to syntactic analysis and named entity recognition, suitable for multi-level analysis of Russian texts.

Model Features

Multitasking
Supports end-to-end processing from raw text to syntactic analysis and named entity recognition.
Efficient and Accurate
Utilizes state-of-the-art natural language processing models to deliver highly accurate analysis results.
Multilingual Support
As part of the Stanza suite, it maintains consistent interfaces and user experience with other language models.

Model Capabilities

Text Tokenization
Part-of-Speech Tagging
Dependency Parsing
Named Entity Recognition

Use Cases

Text Analysis
Russian Text Processing
Performs tokenization, part-of-speech tagging, and syntactic analysis on Russian texts.
Obtains structured representations of the text.
Information Extraction
Identifies named entities from Russian texts.
Extracts key information such as person names, locations, and organization names.
Linguistic Research
Russian Grammar Research
Analyzes Russian syntactic structures.
Supports linguistic research and teaching.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase