PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.16 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (806 utterances, 2,316 words searched).

  1. a, sonnan tsuiteru kara mawaranai no ya . %mov:"30022"_781660_786241 FAT · japanese_ishii/30022.cha, line 393 · Jun 3;00
  2. hora, konna gomi ga tsuiteru . %mov:"30022"_788409_795704 FAT · japanese_ishii/30022.cha, line 396 · Jun 3;00
  3. mada tsuiteru ka [<] ? %mov:"30022"_806510_808657 FAT · japanese_ishii/30022.cha, line 404 · Jun 3;00
  4. a, himo ga tsuiteru . %mov:"30022"_1610632_1611859 FAT · japanese_ishii/30022.cha, line 738 · Jun 3;00
  5. himo mitai (na) (no) tsuiteru nee . %mov:"30022"_1613579_1615894 FAT · japanese_ishii/30022.cha, line 743 · Jun 3;00
  1. FATgomi tsuiten no, tottageyo ka ? %mov:"30022"_778041_780491
    CHIun . %mov:"30022"_780491_781660
    FAT*FAT: a, sonnan tsuiteru kara mawaranai no ya . %mov:"30022"_781660_786241
    FAThora . %mov:"30022"_786241_786791
    FATtoreta ka ? %mov:"30022"_786791_788409
  2. FAThora . %mov:"30022"_786241_786791
    FATtoreta ka ? %mov:"30022"_786791_788409
    FAT*FAT: hora, konna gomi ga tsuiteru . %mov:"30022"_788409_795704
    CHIdoko ? %mov:"30022"_795704_796615
    CHIdoko ? %mov:"30022"_796615_798108
  3. FATkore de ikeru ka na ? %mov:"30022"_803251_806510
    CHIkore ikenai [>] . %mov:"30022"_806510_808657
    FAT*FAT: mada tsuiteru ka [<] ? %mov:"30022"_806510_808657
    FATmoo toreta ka ? %mov:"30022"_808327_810585
    CHIun . %mov:"30022"_810585_811339
  4. FATun . %mov:"30022"_1606467_1607136
    CHIhimo ga tsuiteru kara +... %mov:"30022"_1607136_1610632
    FAT*FAT: a, himo ga tsuiteru . %mov:"30022"_1610632_1611859
    FATdoko ni ? %mov:"30022"_1611859_1612699
    CHIhora [>] . %mov:"30022"_1612699_1613579
  5. CHIhora [>] . %mov:"30022"_1612699_1613579
    FATa, honto ni [<] . %mov:"30022"_1612699_1613579
    FAT*FAT: himo mitai (na) (no) tsuiteru nee . %mov:"30022"_1613579_1615894
    CHIhai, totte . %mov:"30022"_1615894_1618330
    FATyooshi . %mov:"30022"_1618330_1620095

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jun japanese_ishii2.16
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30022.chaJun 3;0.222,316552.16

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. tsuiteru5 · 100.0%