Statistical data of kanji usage frequencies was collected by processing textual data from various sources. You can find these files in the
|File||# of kanji||Description||Date|
||~51.5M||Fiction and non-fiction books from Aozora Bunko||May 2015|
||~10.3M||Online news articles from various sources||June 2015|
||~10.0M||Twitter messages collected by a bot||June 2015|
||~784.6M||Wikipedia dump (see
aozora.json: Pages were scanned as plain text, ignoring HTML structure, since they contain very little extra content.
news.json: Samples include articles published in the last year (June 2014 - June 2015, more samples from 2015), from 4 different sources. Only article titles, subtitles, main text body and image captions were scanned. Everything else was ignored: menus, publication dates, comments, ads, links to related articles, etc. Weather forecasts and area-specific news were not included.
twitter.json: Messages were collected within about 1 week from Twitter's Streaming API. Only message text bodies were scanned, authors' names and other data ignored.
wikipedia.json: Dump included only current versions of pages and articles, without previous revisions or any other history of editing. Dump was scanned as plain text, ignoring XML and wiki markup structure.
Each file contain an array of arrays (rows). Each row contains three fields:
- (string) Kanji itself.
"all"is a special case in the first row.
- (integer) How many times it was found in the analyzed data set. For
"all"it is a total number of kanji, including repetitions.
- (float) Fraction of total amount of data this character represents. For
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