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.

千

Jōyō · KANJIDIC grade 1 · 3 strokes

thousand

英

Jōyō · KANJIDIC grade 4 · 8 strokes

England, English, hero

Find exact-kanji names →

Source rows containing both11

Distinct written forms7

Given-name readings11

Surname readings0

Adjacent 千英 forms7

Adjacent 英千 forms0

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

千英

Chiaki

ちあき

1 source-recorded spelling in this reading group contain both 千 and 英Given name

千英美

Chiemi

ちえみ

1 source-recorded spelling in this reading group contain both 千 and 英Given name

咲千英

Sachie

さちえ

1 source-recorded spelling in this reading group contain both 千 and 英Given name

千英子

Chieko

ちえこ

1 source-recorded spelling in this reading group contain both 千 and 英Given name

千英

Chie

ちえ

1 source-recorded spelling in this reading group contain both 千 and 英Given name

千英子

Chīko

ちいこ

1 source-recorded spelling in this reading group contain both 千 and 英Given name

千英里

Chieri

ちえり

1 source-recorded spelling in this reading group contain both 千 and 英Given name

千英

Chihana

ちはな

1 source-recorded spelling in this reading group contain both 千 and 英Given name

千英

Chiei

ちえい

1 source-recorded spelling in this reading group contain both 千 and 英Given name

千英乃

Chieno

ちえの

1 source-recorded spelling in this reading group contain both 千 and 英Given name

美千英

Michihide

みちひで

1 source-recorded spelling in this reading group contain both 千 and 英

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.