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It Core News Lg

Developed by spacy
CPU-optimized Italian processing pipeline including tokenization, POS tagging, dependency parsing, named entity recognition, etc.
Downloads 55
Release Time : 3/2/2022

Model Overview

Large Italian processing model provided by spaCy, supporting full natural language processing workflows including POS tagging, morphological analysis, dependency parsing, and named entity recognition.

Model Features

CPU optimization
Specifically optimized for CPU usage scenarios, suitable for environments without GPU
Comprehensive NLP processing
Provides complete natural language processing workflows from tokenization to named entity recognition
High-quality word vectors
Includes 500,000 unique vectors (300 dimensions) trained on OSCAR Common Crawl and Wikipedia using fastText

Model Capabilities

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

Use Cases

Text processing
Italian text analysis
Performs grammatical analysis and structural parsing of Italian text
Accurately identifies POS, syntactic relations, and named entities
Information extraction
Extracts entity information like person names, locations, and organizations from Italian text
NER F-score reaches 0.884
Linguistic research
Morphological analysis
Analyzes morphological features of Italian vocabulary
Morphological feature accuracy reaches 97.58%
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