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.

星

Jōyō · KANJIDIC grade 2 · 9 strokes

star, spot, dot

那

Jōyō · KANJIDIC grade 8 · 7 strokes

what?

Find exact-kanji names →

Source rows containing both12

Distinct written forms8

Given-name readings11

Surname readings0

Adjacent 星那 forms2

Adjacent 那星 forms2

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

那南星

Nanase

ななせ

2 source-recorded spellings in this reading group contain both 星 and 那Given name

星那

Sena

せな

1 source-recorded spelling in this reading group contain both 星 and 那Given name

星那

Seina

せいな

1 source-recorded spelling in this reading group contain both 星 and 那Given name

那星

Naho

なほ

1 source-recorded spelling in this reading group contain both 星 and 那Given name

星令那

Serena

せれな

1 source-recorded spelling in this reading group contain both 星 and 那Given name

星那

Shōna

しょうな

1 source-recorded spelling in this reading group contain both 星 and 那Given name

花那星

Kanaho

かなほ

1 source-recorded spelling in this reading group contain both 星 and 那Given name

星那

Tina

てぃな

1 source-recorded spelling in this reading group contain both 星 and 那Given name

星那美

Senami

せなみ

1 source-recorded spelling in this reading group contain both 星 and 那Given name

星那

Hoshina

ほしな

1 source-recorded spelling in this reading group contain both 星 and 那Given name

星里那

Serīna

せりーな

1 source-recorded spelling in this reading group contain both 星 and 那

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.