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Stanza Vi
Stanza is a toolkit for Vietnamese syntactic analysis, supporting tasks from raw text to syntactic parsing and entity recognition.
Downloads 3,189
Release Time : 3/2/2022
Model Overview
Stanza provides a set of precise and efficient tools for Vietnamese syntactic analysis, including tokenization, part-of-speech tagging, dependency parsing, and named entity recognition.
Model Features
Multi-task processing
Supports various NLP tasks including tokenization, part-of-speech tagging, dependency parsing, and named entity recognition.
Efficient and precise
Utilizes advanced neural network models to deliver high-accuracy syntactic analysis results.
Vietnamese language support
Specifically optimized for Vietnamese, capable of handling language-specific structures.
Model Capabilities
Text tokenization
Part-of-speech tagging
Dependency parsing
Named entity recognition
Use Cases
Text processing
Vietnamese text analysis
Performs syntactic analysis and entity recognition on Vietnamese text to extract key information.
Can be used for downstream tasks like information extraction and text classification.
Linguistic research
Vietnamese grammar research
Utilizes model's syntactic analysis output for linguistic studies.
Helps researchers understand Vietnamese grammatical structures.
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