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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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深
Jōyō · KANJIDIC grade 3 · 11 strokes

deep, heighten, intensify

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Same-spelling co-occurrence

Characters recorded with 深

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

深 + 子

31 distinct written forms · 33 source rows

25 given-name readings · 0 surname readings
亜

深 + 亜

13 distinct written forms · 14 source rows

4 given-name readings · 0 surname readings
安

深 + 安

12 distinct written forms · 12 source rows

2 given-name readings · 0 surname readings
阿

深 + 阿

11 distinct written forms · 11 source rows

1 given-name readings · 0 surname readings
奈

深 + 奈

10 distinct written forms · 10 source rows

10 given-name readings · 0 surname readings
愛

深 + 愛

9 distinct written forms · 21 source rows

21 given-name readings · 0 surname readings
美

深 + 美

9 distinct written forms · 10 source rows

6 given-name readings · 1 surname readings
優

深 + 優

8 distinct written forms · 10 source rows

7 given-name readings · 0 surname readings
香

深 + 香

7 distinct written forms · 7 source rows

6 given-name readings · 0 surname readings
有

深 + 有

6 distinct written forms · 7 source rows

5 given-name readings · 0 surname readings
友

深 + 友

6 distinct written forms · 6 source rows

4 given-name readings · 0 surname readings
里

深 + 里

5 distinct written forms · 7 source rows

5 given-name readings · 1 surname readings
理

深 + 理

5 distinct written forms · 6 source rows

6 given-name readings · 0 surname readings
裕

深 + 裕

5 distinct written forms · 6 source rows

4 given-name readings · 0 surname readings
由

深 + 由

5 distinct written forms · 5 source rows

3 given-name readings · 0 surname readings
祐

深 + 祐

5 distinct written forms · 5 source rows

3 given-name readings · 0 surname readings
冬

深 + 冬

4 distinct written forms · 5 source rows

5 given-name readings · 0 surname readings
恵

深 + 恵

4 distinct written forms · 5 source rows

5 given-name readings · 0 surname readings
智

深 + 智

4 distinct written forms · 5 source rows

5 given-name readings · 0 surname readings
月

深 + 月

4 distinct written forms · 5 source rows

5 given-name readings · 0 surname readings
湖

深 + 湖

4 distinct written forms · 5 source rows

5 given-name readings · 0 surname readings
空

深 + 空

4 distinct written forms · 5 source rows

5 given-name readings · 0 surname readings
姫

深 + 姫

4 distinct written forms · 4 source rows

4 given-name readings · 0 surname readings
悠

深 + 悠

4 distinct written forms · 4 source rows

2 given-name readings · 0 surname readings
絵

深 + 絵

4 distinct written forms · 4 source rows

4 given-name readings · 0 surname readings
莉

深 + 莉

4 distinct written forms · 4 source rows

4 given-name readings · 0 surname readings
菜

深 + 菜

4 distinct written forms · 4 source rows

4 given-name readings · 0 surname readings
海

深 + 海

3 distinct written forms · 9 source rows

7 given-name readings · 2 surname readings
紅

深 + 紅

3 distinct written forms · 6 source rows

6 given-name readings · 0 surname readings
夜

深 + 夜

3 distinct written forms · 5 source rows

5 given-name readings · 0 surname readings
代

深 + 代

3 distinct written forms · 4 source rows

2 given-name readings · 1 surname readings
和

深 + 和

3 distinct written forms · 4 source rows

3 given-name readings · 1 surname readings
夏

深 + 夏

3 distinct written forms · 4 source rows

4 given-name readings · 0 surname readings
幸

深 + 幸

3 distinct written forms · 4 source rows

4 given-name readings · 0 surname readings
紀

深 + 紀

3 distinct written forms · 4 source rows

3 given-name readings · 0 surname readings
藍

深 + 藍

3 distinct written forms · 4 source rows

4 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.