N

Nl Core News Sm

Developed by spacy
CPU-optimized Dutch processing pipeline containing NLP task components such as tokenization, part-of-speech tagging, dependency parsing, and named entity recognition
Downloads 111
Release Time : 3/2/2022

Model Overview

A small Dutch language model provided by spaCy, suitable for basic Dutch text processing tasks including tokenization, part-of-speech tagging, dependency parsing, and named entity recognition

Model Features

CPU Optimization
Specially optimized for CPU usage scenarios, suitable for resource-limited environments
Comprehensive NLP Components
Includes a complete NLP processing pipeline from tokenization to named entity recognition
High-Accuracy POS Tagging
Part-of-speech tagging accuracy reaches 95.7% (UPOS)
Multitask Support
Simultaneously supports multiple NLP tasks including part-of-speech tagging, dependency parsing, named entity recognition, and lemmatization

Model Capabilities

Tokenization
Part-of-speech tagging
Morphological analysis
Lemmatization
Dependency parsing
Named entity recognition
Sentence segmentation

Use Cases

Text Processing
Dutch Document Analysis
Perform basic linguistic analysis on Dutch texts
Can identify linguistic features such as part-of-speech and dependency relations
Information Extraction
Dutch Named Entity Recognition
Identify named entities from Dutch texts
NER F-score reaches 72.9%
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase