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Developed by spacy
CPU-optimized Italian processing pipeline provided by spaCy, including NLP functionalities such as token classification, dependency parsing, and named entity recognition
Downloads 64
Release Time : 3/2/2022

Model Overview

This is a small Italian natural language processing model suitable for text processing tasks such as part-of-speech tagging, dependency parsing, named entity recognition, etc. Optimized for CPU usage.

Model Features

CPU Optimization
Specifically optimized for CPU usage scenarios
Comprehensive NLP Features
Provides complete natural language processing functionalities from part-of-speech tagging to named entity recognition
High Accuracy
Excellent performance on Italian processing tasks, such as an NER F-score of 0.859

Model Capabilities

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

Use Cases

Text Processing
Italian Text Analysis
Performs part-of-speech tagging and syntactic analysis on Italian texts
Accuracy up to 96.5%
Named Entity Recognition
Identifies entities such as person names, locations, and organizations in Italian texts
F-score of 0.859
Linguistic Research
Italian Morphological Analysis
Analyzes the morphological features of Italian vocabulary
Accuracy of 97.0%
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