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Cleanup #11

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merged 14 commits into from
Jun 6, 2017
Merged

Cleanup #11

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00d6075
Update README.md
May 25, 2017
4e780c6
Incorporated words2.txt words into words_alpha.txt
Jun 1, 2017
bb8c5d7
Merge pull request #1 from spookiecookie/spookiecookie-patch-1
Jun 1, 2017
61b53f2
Merge pull request #1 from spookiecookie/spookiecookie-patch-1
Jun 1, 2017
79c1e33
Merge branch 'master' of https://github.com/spookiecookie/english-words
Jun 1, 2017
31ed2db
Words3.txt appended with words_alpha.txt and all duplicates removed
Jun 1, 2017
6ea6433
Words3.txt appended with words_alpha.txt and all duplicates removed
Jun 1, 2017
91c82ad
Merge branch 'master' of https://github.com/spookiecookie/english-words
Jun 1, 2017
c1f0884
Moved words3.txt to words_alpha_numbers_punctuations.txt
Jun 1, 2017
f85b3f9
Removed words2.txt since all it's contents are in words_alpha.txt now
Jun 1, 2017
d8772ad
Zipped
Jun 1, 2017
a4d8f8b
Added words_alpha_numbers_punctuations.txt contents to words.txt then…
Jun 1, 2017
45e603b
Zipped words.txt to words.zip. Removed words_alpha_numbers_punctuatio…
Jun 1, 2017
57f7f54
Updated readme
Jun 1, 2017
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9 changes: 7 additions & 2 deletions README.md
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
english-words
=============

A text file containing 355k English words
A text file containing 355k English words.

While searching for a list of english words (for an auto-complete tutorial)
I found: http://stackoverflow.com/questions/2213607/how-to-get-english-language-word-database which refers to http://www.infochimps.com/datasets/word-list-350000-simple-english-words-excel-readable
Expand All @@ -11,4 +11,9 @@ 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.
Copyright still belongs to them.

Files you may be interested in:

- [words.txt](english-words/words.txt) contains all words.
- [words_alpha.txt](english-words/words_alpha.txt) contains only [[:alpha]] words. If you want a quick solution choose this.
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