natasha/nerus
Large silver standart Russian corpus with NER, morphology and syntax markup
This project provides a large dataset of Russian news articles from Lenta.ru, meticulously annotated with linguistic information. It takes raw Russian text and outputs detailed markup including parts of speech, syntax, and recognized entities like people, locations, and organizations. Researchers and language model developers working with Russian text would find this dataset valuable for training and evaluating natural language processing systems.
No commits in the last 6 months. Available on PyPI.
Use this if you need a pre-annotated, large-scale Russian text corpus for developing or testing linguistic analysis tools, especially for named entity recognition, morphology, and syntax.
Not ideal if you're looking for a simple tool to analyze individual Russian texts without needing a large dataset for model training or evaluation.
Stars
73
Forks
10
Language
Python
License
MIT
Category
Last pushed
Jul 24, 2023
Commits (30d)
0
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