E

Es Core News Sm

Developed by spacy
A CPU-optimized Spanish natural language processing pipeline, including tokenization, part-of-speech tagging, dependency parsing, named entity recognition, and more.
Downloads 148
Release Time : 3/2/2022

Model Overview

A small Spanish model provided by spaCy, suitable for basic NLP tasks such as part-of-speech tagging, dependency parsing, named entity recognition, etc.

Model Features

CPU Optimization
Specifically optimized for CPU processing, suitable for resource-limited environments
Multitasking
A single pipeline handles multiple NLP tasks such as part-of-speech tagging, dependency parsing, and named entity recognition simultaneously
High Accuracy
Achieves 98.15% accuracy in part-of-speech tagging (UPOS) and an F1 score of 89.14% in named entity recognition

Model Capabilities

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

Use Cases

Text Processing
Spanish Document Analysis
Automatically analyzes part-of-speech, syntactic structure, and named entities in Spanish documents
Can identify entities such as person names, locations, and organizations in documents
Language Learning Applications
Provides grammatical analysis and part-of-speech tagging for Spanish learners
Helps learners understand sentence structure and word usage
Information Extraction
News Content Analysis
Extracts key entities and relationships from Spanish news
Can be used to build knowledge graphs or content classification
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase