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Sv Core News Lg

Developed by spacy
A Swedish natural language processing pipeline optimized for CPU, including complete NLP components such as part-of-speech tagging and named entity recognition
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Release Time : 5/2/2022

Model Overview

A large Swedish processing model provided by spaCy, supporting natural language processing tasks such as part-of-speech tagging, dependency analysis, and named entity recognition

Model Features

Complete NLP processing flow
Integrates complete natural language processing components such as part-of-speech tagging, dependency analysis, and named entity recognition
CPU optimization
Specifically optimized for CPU usage scenarios
High - quality word vectors
Contains 200,000 300 - dimensional floret word vectors
Trainable lemmatizer
Provides a trainable lemmatization component with an accuracy of 95.59%

Model Capabilities

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

Use Cases

Text analysis
Swedish text processing
Perform part-of-speech tagging and syntactic analysis on Swedish text
The accuracy of part-of-speech tagging reaches 96.36%
Information extraction
Identify named entities from Swedish text
The NER F - score reaches 80.81%
Linguistic research
Morphological analysis
Analyze the morphological features of Swedish words
The accuracy of morphological features reaches 95.87%
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