zamgi/lingvo--Ner-ru
Named entity recognition (NER) in Russian texts / Определение именованных сущностей (NER) в тексте на русском языке
This tool helps you automatically identify and categorize important pieces of information like names of people, companies, places, products, and events within Russian text. You input raw Russian text, and it outputs the same text with key entities highlighted and labeled by type. This is useful for anyone working with large volumes of Russian documents, such as researchers, analysts, or content managers.
No commits in the last 6 months.
Use this if you need to quickly extract and classify specific types of named entities from Russian-language documents without manual review or pre-defined dictionaries.
Not ideal if you require absolute dictionary-level precision for entity types, as its statistical approach can sometimes misclassify entities.
Stars
42
Forks
7
Language
C#
License
MIT
Category
Last pushed
Oct 10, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/zamgi/lingvo--Ner-ru"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
wooorm/franc
Natural language detection
microsoft/Recognizers-Text
Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time,...
winkjs/wink-pos-tagger
English Part-of-speech (POS) tagger
sillsdev/machine
Machine is a natural language processing library for .NET that is focused on providing tools for...
ayoungprogrammer/Lango
Language Lego