https://github.com/hingston/russian

This repo contains a list of the 100000 most common Russian words in order of frequency, as determined by the University of Leeds Corpus.
https://github.com/hingston/russian

cyrillic cyrillic-characters russian russian-dictionary russian-language

Last synced: about 1 month ago
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This repo contains a list of the 100000 most common Russian words in order of frequency, as determined by the University of Leeds Corpus.

• Host: GitHub
• URL: https://github.com/hingston/russian
• Owner: hingston
• License: other
• Created: 2018-09-13T12:43:59.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2023-05-15T13:23:13.000Z (over 2 years ago)
• Last Synced: 2025-01-06T15:49:22.543Z (9 months ago)
• Topics: cyrillic, cyrillic-characters, russian, russian-dictionary, russian-language
• Homepage: http://corpus.leeds.ac.uk/frqc/internet-ru.num
• Size: 563 KB
• Stars: 40
• Watchers: 4
• Forks: 21
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

          
About This Repo

===============

This repo contains a list of the most common Japanese words in order of frequency, as determined by the [University of Leeds Corpus](http://corpus.leeds.ac.uk/frqc/internet-ru.num).

Usage

-----

This repo is useful as a corpus for typing training programs. According to analysis of the [Oxford English Corpus](https://en.oxforddictionaries.com/explore/what-can-corpus-tell-us-about-language/), the 7,000 most common English lemmas account for approximately 90% of usage, so a 10,000 word training corpus is more than sufficient for practical training applications.

To use this list as a training corpus in [Amphetype](https://code.google.com/archive/p/amphetype/), paste the contents into the "Lesson Generator" tab with the following settings:

    Make **3** copies of the list

    Divide into sublists of size **3**

    Add to sources as **10000-russian-words**

In the "Sources" tab, you should see **10000-russian-words** available for training. Set WPM at 10 more than your current average, set accuracy to 98%, and you're set to train.

Enjoy!