{"id":19351596,"url":"https://github.com/hingston/russian","last_synced_at":"2026-02-11T22:34:48.248Z","repository":{"id":46260830,"uuid":"148636155","full_name":"hingston/russian","owner":"hingston","description":"This repo contains a list of the 100000 most common Russian words in order of frequency, as determined by the University of Leeds Corpus.","archived":false,"fork":false,"pushed_at":"2023-05-15T13:23:13.000Z","size":576,"stargazers_count":43,"open_issues_count":2,"forks_count":22,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-09-06T09:46:33.328Z","etag":null,"topics":["cyrillic","cyrillic-characters","russian","russian-dictionary","russian-language"],"latest_commit_sha":null,"homepage":"http://corpus.leeds.ac.uk/frqc/internet-ru.num","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hingston.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-09-13T12:43:59.000Z","updated_at":"2025-08-13T21:49:49.000Z","dependencies_parsed_at":"2025-01-06T15:49:13.791Z","dependency_job_id":"24fe58b0-c640-40d5-982d-9952aa6828fd","html_url":"https://github.com/hingston/russian","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/hingston/russian","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hingston%2Frussian","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hingston%2Frussian/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hingston%2Frussian/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hingston%2Frussian/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hingston","download_url":"https://codeload.github.com/hingston/russian/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hingston%2Frussian/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29348319,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-11T20:11:40.865Z","status":"ssl_error","status_checked_at":"2026-02-11T20:10:41.637Z","response_time":97,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cyrillic","cyrillic-characters","russian","russian-dictionary","russian-language"],"created_at":"2024-11-10T04:36:42.334Z","updated_at":"2026-02-11T22:34:48.231Z","avatar_url":"https://github.com/hingston.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"About This Repo\n===============\n\nThis 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).\n\nUsage\n-----\n\nThis 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.\n\nTo 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:\n\n    Make **3** copies of the list\n\n    Divide into sublists of size **3**\n\n    Add to sources as **10000-russian-words**\n\nIn 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.\n\nEnjoy!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhingston%2Frussian","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhingston%2Frussian","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhingston%2Frussian/lists"}