R

Ru Core News Lg

Developed by spacy
Large Russian NLP model provided by spaCy, optimized for CPU, featuring a complete NLP processing pipeline
Downloads 74
Release Time : 3/2/2022

Model Overview

Large-scale Russian NLP model based on Nerus and Navec pretraining, supporting tasks like POS tagging, dependency parsing, named entity recognition, specifically optimized for Russian text processing

Model Features

CPU optimization
Russian NLP pipeline specifically optimized for CPU processing
Complete NLP components
Includes complete NLP processing components like POS tagging, morphological analysis, dependency parsing, and named entity recognition
High-quality pretraining
Russian pretrained vectors based on Nerus and Navec, containing 500,000+ unique vectors

Model Capabilities

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

Use Cases

Text analysis
Russian text parsing
Performs grammatical and structural analysis on Russian texts like news and articles
Can identify linguistic features such as POS tags and dependency relations
Information extraction
Russian entity recognition
Identifies entities like person names, locations, and organizations from Russian texts
NER F-score reaches 0.953
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