https://github.com/dwyl/english-words

:memo: A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion
https://github.com/dwyl/english-words

Last synced: 15 days ago
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:memo: A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion

• Host: GitHub
• URL: https://github.com/dwyl/english-words
• Owner: dwyl
• License: unlicense
• Created: 2014-07-13T22:20:45.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2024-06-16T11:20:30.000Z (5 months ago)
• Last Synced: 2024-10-15T09:22:14.135Z (29 days ago)
• Language: Python
• Homepage:
• Size: 24.2 MB
• Stars: 10,570
• Watchers: 207
• Forks: 1,838
• Open Issues: 113
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.md

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README

        
List Of English Words

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

A text file containing over 466k English words.

While searching for a list of english words (for an auto-complete tutorial)

I found: https://stackoverflow.com/questions/2213607/how-to-get-english-language-word-database which refers to [https://www.infochimps.com/datasets/word-list-350000-simple-english-words-excel-readable](https://web.archive.org/web/20131118073324/https://www.infochimps.com/datasets/word-list-350000-simple-english-words-excel-readable) (archived).

No idea why infochimps put the word list inside an excel (.xls) file.

I pulled out the words into a simple new-line-delimited text file.

Which is more useful when building apps or importing into databases etc.

Copyright still belongs to them.

Files you may be interested in:

-  [words.txt](words.txt) contains all words.

-  [words_alpha.txt](words_alpha.txt) contains only [[:alpha:]] words (words that only have letters, no numbers or symbols). If you want a quick solution choose this.

-  [words_dictionary.json](words_dictionary.json) contains all the words from words_alpha.txt as json format. 

If you are using Python, you can easily load this file and use it as a dictionary for faster performance. All the words are assigned with 1 in the dictionary.

See [read_english_dictionary.py](read_english_dictionary.py) for example usage.