chambliss/Multilingual_NER

Applying BERT to named entity recognition in English and Russian.

35
/ 100
Emerging

This project helps machine translation developers pinpoint and fix issues with how names (people, places, organizations) are translated between English and Russian. You input sentences or documents in either language, and it highlights and categorizes the names identified. This tool is for machine translation developers and quality assurance engineers focused on improving translation accuracy for named entities.

163 stars. No commits in the last 6 months.

Use this if you are a developer building or evaluating machine translation models and need to specifically analyze and improve the accurate translation of named entities between Russian and English.

Not ideal if you are looking for a general-purpose named entity recognition tool for languages other than Russian or English, or if you are not working with machine translation quality.

machine-translation natural-language-processing linguistics translation-quality-assurance data-annotation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 17 / 25

How are scores calculated?

Stars

163

Forks

24

Language

Python

License

Last pushed

Dec 08, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/chambliss/Multilingual_NER"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.