Corpus composition research

Kanji Pair Research

Enter one kanji to discover other characters recorded in the same JMnedict name spellings, or enter two kanji to inspect that exact co-occurrence. Every count in this research view describes the imported corpus—not population popularity in Japan.

津

Jōyō · KANJIDIC grade 8 · 9 strokes

haven, port, harbor

葉

Jōyō · KANJIDIC grade 3 · 12 strokes

leaf, plane, lobe

Find exact-kanji names →

Source rows containing both16

Distinct written forms15

Given-name readings11

Surname readings0

Adjacent 津葉 forms7

Adjacent 葉津 forms8

Recorded names

Name readings containing both characters

The pair only has to occur in the same written form; the two kanji are not required to be adjacent unless counted in the adjacency statistics above.

Given name

葉津希

Hazuki

はづき

3 source-recorded spellings in this reading group contain both 津 and 葉Given name

奈津葉

Natsuha

なつは

2 source-recorded spellings in this reading group contain both 津 and 葉Given name

葉津海

Hazumi

はづみ

2 source-recorded spellings in this reading group contain both 津 and 葉Given name

代津葉

Yotsuba

よつば

2 source-recorded spellings in this reading group contain both 津 and 葉Given name

葉津美

Hatsumi

はつみ

1 source-recorded spelling in this reading group contain both 津 and 葉Given name

加津葉

Kazuha

かづは

1 source-recorded spelling in this reading group contain both 津 and 葉Given name

由津葉

Yuzuha

ゆづは

1 source-recorded spelling in this reading group contain both 津 and 葉Given name

紫津葉

Shizuha

しづは

1 source-recorded spelling in this reading group contain both 津 and 葉Given name

葉津

Hatsu

はつ

1 source-recorded spelling in this reading group contain both 津 and 葉Given name

葉津乃

Hatsuno

はつの

1 source-recorded spelling in this reading group contain both 津 and 葉Given name

葉津瀬

Hatsuse

はつせ

1 source-recorded spelling in this reading group contain both 津 and 葉

Evidence boundary

Co-occurrence is not popularity or etymology

The pair relation comes from exact JMnedict source rows through the compact kanji-usage index. KANJIDIC2 contributes character metadata only. A high corpus count can reflect dictionary coverage and should not be read as a national usage frequency.