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📝 A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion Resources
1,000 most common US English words. GitHub Gist: instantly share code, notes, and snippets.
This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus. Resources
Install the CLI globally: npm i -g an-array-of-english-words. Now run words to print all the words to stdout: words. Use grep to filter by pattern: words | grep cheese. Use egrep to filter with regular expressions: words | egrep '^fun' # start with 'fun'. words | egrep 'ification$' # end with 'ification'.
profane-words. A semi-comprehensive list of profanity in English. Donate. Warning don't read the list if you're easily offended. I don't even know what at least half of these words mean. This includes words from several other lists, with some 'ok words' filtered out.
Need a larger set of expletives and slurs, or a list of swear words in other languages (Spanish, French, German, Japanese, Portuguese, etc)? We work with top AI and content moderation companies around the world, and we love feedback.
This repository contains highly consumable lists of words and/or phrases that may be considered profane or inappropriate. The profanity lists come in two forms: JSON format that contains the words and phrases with associated meta information and a plain text format that contains one word or phrase per line.
This simple Node project generates a plain swear words list file (swears.txt) that can easily be matched against. Instructions: Use swears.txt, or, to generate it again:
:memo: A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion - dwyl/english-words
Several text files containing custom words that you can copy-and-paste into skribbl.io.