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Hu Core News Trf

Developed by huspacy
Transformer pipeline (huBERT) for Hungarian HuSpaCy, containing multiple natural language processing components
Downloads 118
Release Time : 4/1/2022

Model Overview

Hungarian natural language processing model based on huBERT, providing complete NLP functionalities including POS tagging, named entity recognition, dependency parsing, etc.

Model Features

Multi-task processing capability
Single model integrates multiple NLP tasks including POS tagging, named entity recognition, dependency parsing
High-precision performance
Achieves F1 score of 0.917 in NER tasks and POS tagging accuracy of 0.982
Transformer-based architecture
Utilizes huBERT base model for enhanced contextual understanding
Comprehensive morphological analysis
Supports complex Hungarian morphological feature analysis with 0.966 accuracy

Model Capabilities

POS tagging
Named entity recognition
Dependency parsing
Lemmatization
Sentence segmentation
Morphological analysis

Use Cases

Text analysis
Hungarian text processing
Performs grammatical analysis and structural parsing of Hungarian texts
Accurately identifies POS, entities, and syntactic relationships
Information extraction
Hungarian entity recognition
Extracts named entities like person names and locations from Hungarian texts
NER F1 score reaches 0.917
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