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Es Core News Lg

Developed by spacy
CPU-optimized Spanish processing pipeline, including tokenization, POS tagging, dependency parsing, named entity recognition, etc.
Downloads 52
Release Time : 3/2/2022

Model Overview

Large Spanish NLP model provided by spaCy, supporting a complete natural language processing pipeline, including tasks such as tokenization, POS tagging, dependency parsing, and named entity recognition.

Model Features

Comprehensive NLP capabilities
Supports a full suite of natural language processing functions from basic tokenization to complex dependency parsing
CPU optimization
Specifically optimized for CPU usage scenarios, suitable for resource-constrained environments
High-quality word vectors
Includes 500,000 unique vectors (300 dimensions), providing strong semantic representation capabilities

Model Capabilities

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

Use Cases

Text processing
Spanish document analysis
Performs grammatical analysis and entity extraction on Spanish documents
Accurately identifies entities such as names and locations in documents
Spanish language teaching aid
Used for grammatical analysis in Spanish learning applications
Helps students understand sentence structure and morphological changes
Information extraction
News content analysis
Extracts key information from Spanish news
Accurately identifies people, organizations, and locations in news
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