Visual novel Japanese reading statistics

How hard is Aiyoku no Eustia to read in Japanese?

穢翼のユースティア

Aggregate vocabulary, kanji, length, and reading-profile data from the DokiDokiDict recommender corpus.

Visual novel2011AUGUSTActionMysteryADVFighting Heroine
Aiyoku no Eustia cover
1,887pages at 600 Japanese characters each
12,566unique vocabulary identities
2,382unique kanji
17.5Japanese characters per indexed sentence

Japanese reading profile

This indexed edition contains 1,132,464 Japanese characters across 64,889 sentences. By length it is at approximately the 71st percentile of the 76 indexed visual novels. Its vocabulary breadth is at approximately the 67th percentile within the same group.

Those numbers describe the text, not your personal comprehension. A long work can contain more unique vocabulary while still becoming comfortable through repetition. DokiDokiDict's recommender uses your own known words and simulates the work sentence by sentence instead of assigning one universal level.

Also known as: Eustia of the Tarnished Wings, 脏翅膀

View title information on VNDB

Vocabulary coverage by starting level

This table uses the same analysis scale as the VN staircase. The first percentage is coverage before starting. The second is coverage of the unread remainder after the first 30% has been treated as read.

Default VN words knownStarting coverageRemaining coverage after 30%
50064.9%85.7%
1,00074.3%86.3%
2,00082.8%88.1%
3,00087.2%90.3%
5,00091.3%93.2%
10,00095.8%96.7%
15,00097.7%98.3%
20,00098.8%99.1%

You would need to know roughly the 4,234 most frequent Default VN words to begin at 90% coverage, or roughly the top 8,786 for 95%.

How to read this: the vocabulary axis uses the Default VN frequency list. Grammar, punctuation, and proper names are excluded, while twenty frequent local words are treated as manageable. The 30% simulation counts a word as learned after four sightings separated by at least five pages. It models exposure and recognition, not guaranteed acquisition.

Works with a similar aggregate profile

These are nearby works of the same type by indexed length, vocabulary breadth, and kanji breadth. Similar statistics do not necessarily mean similar prose or subject matter.

See whether it fits your vocabulary

Import your DokiDokiDict history, Anki cards, built-in SRS deck, or manually known words, then simulate this work against what you actually know.