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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.

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予
Jōyō · KANJIDIC grade 3 · 4 strokes

beforehand, previous, myself

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Same-spelling co-occurrence

Characters recorded with 予

Only partners appearing in at least two distinct source-recorded written forms are highlighted here. That threshold keeps one-off combinations from looking more established than the corpus supports.

子

予 + 子

39 distinct written forms · 40 source rows

14 given-name readings · 0 surname readings
紀

予 + 紀

8 distinct written forms · 8 source rows

4 given-name readings · 0 surname readings
美

予 + 美

7 distinct written forms · 7 source rows

4 given-name readings · 0 surname readings
伊

予 + 伊

6 distinct written forms · 8 source rows

2 given-name readings · 6 surname readings
規

予 + 規

5 distinct written forms · 6 source rows

4 given-name readings · 0 surname readings
希

予 + 希

5 distinct written forms · 5 source rows

5 given-name readings · 0 surname readings
里

予 + 里

4 distinct written forms · 5 source rows

5 given-name readings · 0 surname readings
香

予 + 香

4 distinct written forms · 5 source rows

5 given-name readings · 0 surname readings
志

予 + 志

4 distinct written forms · 4 source rows

4 given-name readings · 0 surname readings
理

予 + 理

3 distinct written forms · 4 source rows

4 given-name readings · 0 surname readings
貴

予 + 貴

3 distinct written forms · 4 source rows

3 given-name readings · 0 surname readings
佳

予 + 佳

3 distinct written forms · 3 source rows

3 given-name readings · 0 surname readings
多

予 + 多

3 distinct written forms · 3 source rows

3 given-name readings · 0 surname readings
奈

予 + 奈

3 distinct written forms · 3 source rows

3 given-name readings · 0 surname readings
実

予 + 実

3 distinct written forms · 3 source rows

2 given-name readings · 0 surname readings
維

予 + 維

3 distinct written forms · 3 source rows

3 given-name readings · 0 surname readings
衣

予 + 衣

3 distinct written forms · 3 source rows

3 given-name readings · 0 surname readings
知

予 + 知

2 distinct written forms · 4 source rows

4 given-name readings · 0 surname readings
一

予 + 一

2 distinct written forms · 3 source rows

3 given-name readings · 0 surname readings
利

予 + 利

2 distinct written forms · 3 source rows

3 given-name readings · 0 surname readings
彩

予 + 彩

2 distinct written forms · 3 source rows

3 given-name readings · 0 surname readings
智

予 + 智

2 distinct written forms · 3 source rows

2 given-name readings · 0 surname readings
麻

予 + 麻

2 distinct written forms · 3 source rows

3 given-name readings · 0 surname readings
佐

予 + 佐

2 distinct written forms · 2 source rows

2 given-name readings · 0 surname readings
依

予 + 依

2 distinct written forms · 2 source rows

2 given-name readings · 0 surname readings
加

予 + 加

2 distinct written forms · 2 source rows

2 given-name readings · 0 surname readings
友

予 + 友

2 distinct written forms · 2 source rows

2 given-name readings · 0 surname readings
基

予 + 基

2 distinct written forms · 2 source rows

2 given-name readings · 0 surname readings
左

予 + 左

2 distinct written forms · 2 source rows

2 given-name readings · 0 surname readings
惟

予 + 惟

2 distinct written forms · 2 source rows

2 given-name readings · 0 surname readings
意

予 + 意

2 distinct written forms · 2 source rows

2 given-name readings · 0 surname readings
未

予 + 未

2 distinct written forms · 2 source rows

2 given-name readings · 0 surname readings
梨

予 + 梨

2 distinct written forms · 2 source rows

2 given-name readings · 0 surname readings
比

予 + 比

2 distinct written forms · 2 source rows

1 given-name readings · 1 surname readings
茂

予 + 茂

2 distinct written forms · 2 source rows

2 given-name readings · 0 surname readings
賀

予 + 賀

2 distinct written forms · 2 source rows

2 given-name readings · 0 surname readings
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.