Shypd.aiThe largest open index of AI toolsNatasha is an open-source Python library for Russian Natural Language Processing (NLP). It provides functionalities like tokenization, sentence segmentation, morphology tagging, and named entity recognition for the Russian language.
Trending
About
Natasha is a powerful open-source Python library designed to solve basic NLP tasks specifically for the Russian language. It offers a comprehensive suite of functionalities including tokenization, sentence segmentation, word embedding, morphology tagging, lemmatization, phrase normalization, syntax parsing, NER tagging, and fact extraction. The library emphasizes production readiness, focusing on optimized model size, RAM usage, and performance, with models running efficiently on CPU using Numpy for inference. Natasha integrates several specialized libraries like Razdel for segmentation, Navec for compact Russian embeddings, Slovnet for deep-learning morphology, syntax, and NER, and Yargy for rule-based fact extraction. While its API may evolve, it provides a convenient unified interface for various Russian NLP tasks, with models primarily optimized for news articles.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
