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Da Core News Lg

Developed by spacy
CPU-optimized Danish language processing pipeline including tokenization, POS tagging, dependency parsing, named entity recognition, and other complete NLP functionalities
Downloads 78
Release Time : 3/2/2022

Model Overview

Large Danish language processing model provided by spaCy, supporting POS tagging, dependency parsing, named entity recognition, lemmatization, and other natural language processing tasks, optimized for CPU usage

Model Features

CPU optimization
Processing pipeline specifically optimized for CPU usage scenarios
Complete NLP functionalities
Provides complete natural language processing capabilities from tokenization to named entity recognition
High-quality word vectors
Includes 500,000 unique word vectors (300 dimensions) trained on fastText

Model Capabilities

Tokenization
POS tagging
Dependency parsing
Named entity recognition
Lemmatization
Morphological analysis
Sentence boundary detection

Use Cases

Text analysis
Danish text processing
Process Danish texts to extract grammatical structures and semantic information
Accuracy: POS tagging 96.66%, named entity recognition F1 score 80.95%
Information extraction
Entity recognition
Identify entities such as person names, locations, and organizations from Danish texts
Precision 80.04%, recall 81.88%
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