PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

6.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (292 utterances, 723 words searched).

  1. hai hai, kondo Junkun utatte . %mov:"11116"_182207_184273 FAT · japanese_ishii/11116.cha, line 148 · Jun 1;11
  2. Junkun no meme [= eyes] doko desu ka ? %mov:"11116"_262885_264853 FAT · japanese_ishii/11116.cha, line 205 · Jun 1;11
  3. un, Junkun, Junkun no meme wa? %mov:"11116"_266785_269653 FAT · japanese_ishii/11116.cha, line 208 · Jun 1;11
  4. un, Junkun, Junkun no meme wa? %mov:"11116"_266785_269653 FAT · japanese_ishii/11116.cha, line 208 · Jun 1;11
  5. Junkun mo shoo ka na,, shampoo . %mov:"11116"_671897_673755 FAT · japanese_ishii/11116.cha, line 455 · Jun 1;11
  1. japanese_ishii/11116.cha, line 148 · Jun, 1;11.16
    CHIai . %mov:"11116"_159740_160440
    CHIatta atta . %mov:"11116"_160440_160440
    FAT*FAT: hai hai, kondo Junkun utatte . %mov:"11116"_182207_184273
    FATshushu@o . %mov:"11116"_184273_184273
    FATun, sorekara ? %mov:"11116"_187044_192208
  2. japanese_ishii/11116.cha, line 205 · Jun, 1;11.16
    CHIxxx ka ka . %mov:"11116"_258167_260365
    CHImee # ensha . %mov:"11116"_260365_262885
    FAT*FAT: Junkun no meme [= eyes] doko desu ka ? %mov:"11116"_262885_264853
    CHIko meme . %mov:"11116"_264853_266785
    FATun, Junkun, Junkun no meme wa? %mov:"11116"_266785_269653
  3. japanese_ishii/11116.cha, line 208 · Jun, 1;11.16
    FATJunkun no meme [= eyes] doko desu ka ? %mov:"11116"_262885_264853
    CHIko meme . %mov:"11116"_264853_266785
    FAT*FAT: un, Junkun, Junkun no meme wa? %mov:"11116"_266785_269653
    FATdoko ? %mov:"11116"_269653_271067
    FATa, soko . %mov:"11116"_271067_271661
  4. japanese_ishii/11116.cha, line 455 · Jun, 1;11.16
    FATun . %mov:"11116"_668205_668796
    FATchaichai [= bath] haitte shampoo shiten no . %mov:"11116"_668796_671897
    FAT*FAT: Junkun mo shoo ka na,, shampoo . %mov:"11116"_671897_673755
    FATshoo ka ? %mov:"11116"_673755_675267
    FATkoo shite . %mov:"11116"_675267_676691

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_ishii6.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11116.chaJun 1;11.16723456.92

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. junkun5 · 100.0%