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.

弥

Jōyō · KANJIDIC grade 8 · 8 strokes

all the more, increasingly

由

Jōyō · KANJIDIC grade 3 · 5 strokes

wherefore, a reason

Find exact-kanji names →

Source rows containing both12

Distinct written forms9

Given-name readings11

Surname readings0

Adjacent 弥由 forms4

Adjacent 由弥 forms4

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

弥由実

Yayumi

やゆみ

2 source-recorded spellings in this reading group contain both 弥 and 由Given name

吾由弥

Ayumi

あゆみ

1 source-recorded spelling in this reading group contain both 弥 and 由Given name

万由弥

Mayumi

まゆみ

1 source-recorded spelling in this reading group contain both 弥 and 由Given name

由弥

Yumi

ゆみ

1 source-recorded spelling in this reading group contain both 弥 and 由Given name

由弥子

Yumiko

ゆみこ

1 source-recorded spelling in this reading group contain both 弥 and 由Given name

弥由

Miyū

みゆう

1 source-recorded spelling in this reading group contain both 弥 and 由Given name

由弥

Yūmi

ゆうみ

1 source-recorded spelling in this reading group contain both 弥 and 由Given name

由弥

Yoshiya

よしや

1 source-recorded spelling in this reading group contain both 弥 and 由Given name

弥由華

Miyuka

みゆか

1 source-recorded spelling in this reading group contain both 弥 and 由Given name

由弥

Yūya

ゆうや

1 source-recorded spelling in this reading group contain both 弥 and 由Given name

由亜弥

Yuami

ゆあみ

1 source-recorded spelling in this reading group contain both 弥 and 由

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.