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Stanza Hu
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Stanza Hu

Developed by stanfordnlp
Stanza is a precise and efficient multilingual language analysis toolkit, providing Hungarian text processing, syntactic analysis, and entity recognition capabilities.
Sequence Labeling OtherOpen Source License:Apache-2.0#Hungarian NLP#Multi-task Analysis#Syntactic Parsing
Downloads 186
Release Time : 3/2/2022

Model Overview

Stanza offers natural language processing models for Hungarian, supporting various functions from raw text processing to syntactic analysis and entity recognition.

Model Features

Multilingual Support
Supports natural language processing for multiple languages, including Hungarian.
Comprehensive Analysis Features
Provides a complete workflow from raw text processing to syntactic analysis and entity recognition.
Efficient and Accurate
Utilizes state-of-the-art natural language processing models to ensure efficiency and accuracy.

Model Capabilities

Text Processing
Syntactic Analysis
Entity Recognition

Use Cases

Text Analysis
Hungarian Text Parsing
Performs basic processing such as tokenization and part-of-speech tagging on Hungarian text.
Syntactic Structure Analysis
Analyzes the syntactic structure and dependency relations of Hungarian sentences.
Information Extraction
Named Entity Recognition
Identifies named entities such as person names and locations from Hungarian text.
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