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En Core Web Lg

Developed by spacy
Large English language processing model provided by spaCy, optimized for CPU, featuring a complete natural language processing pipeline
Downloads 129
Release Time : 3/2/2022

Model Overview

This is a comprehensive natural language processing model for English, including part-of-speech tagging, dependency parsing, named entity recognition, and other functionalities, suitable for text analysis and information extraction tasks

Model Features

CPU Optimization
Specially optimized for CPU processing, suitable for running in environments without GPU
Comprehensive NLP Pipeline
Includes a complete set of natural language processing components, from part-of-speech tagging to named entity recognition
High-quality Word Vectors
Includes 514,157 300-dimensional word vectors, covering a wide range of vocabulary

Model Capabilities

Part-of-Speech Tagging
Dependency Parsing
Named Entity Recognition
Sentence Segmentation
Lemmatization

Use Cases

Text Analysis
News Content Analysis
Extract entity information such as person names, locations, and organization names from news texts
NER F-score reached 85.43%
Syntax Analysis
Analyze the grammatical structure and part-of-speech tagging of sentences
Part-of-speech tagging accuracy reached 97.35%
Information Extraction
Structured Data Generation
Extract structured information from unstructured text
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