PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. hikooki ya na . %mov:"11116"_25727_26906 FAT · japanese_ishii/11116.cha, line 36 · Jun 1;11
  2. hikooki ookii na . %mov:"11116"_82011_83349 FAT · japanese_ishii/11116.cha, line 81 · Jun 1;11
  3. nyaoo@o ya na . %mov:"11116"_536431_537630 FAT · japanese_ishii/11116.cha, line 359 · Jun 1;11
  4. shoobo [//] shooboosho [//] shooboojidoosha ya na ? %mov:"11116"_578032_581711 FAT · japanese_ishii/11116.cha, line 390 · 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. FATfune, un, fune . %mov:"11116"_23609_24626
    CHIukooki ya . %mov:"11116"_24626_25727
    FAT*FAT: hikooki ya na . %mov:"11116"_25727_26906
    FATherikoputaa ya . %mov:"11116"_26906_28318
    CHIboobo . %mov:"11116"_28318_30118
  2. FATkore nan ya ? %mov:"11116"_79705_80814
    CHIba hikooki . %mov:"11116"_80814_82011
    FAT*FAT: hikooki ookii na . %mov:"11116"_82011_83349
    CHIhora [>] . %mov:"11116"_83349_87001
    FATookii hiko [<] +... %mov:"11116"_83349_87001
  3. CHInyaoo ya nyaoo ya . %mov:"11116"_532810_535240
    FATsoo ya, neko ya . %mov:"11116"_535240_536431
    FAT*FAT: nyaoo@o ya na . %mov:"11116"_536431_537630
    FATkore wa nan ya ? %mov:"11116"_537630_538890
    CHIn wanwan . %mov:"11116"_538890_540091
  4. CHIa pipopipo . %mov:"11116"_572742_576804
    FATun, pipopipo@o . %mov:"11116"_576804_578032
    FAT*FAT: shoobo [//] shooboosho [//] shooboojidoosha ya na ? %mov:"11116"_578032_581711
    CHIkoe wa ? %mov:"11116"_581711_582893
    CHItoakku wa ? %mov:"11116"_582893_582893
  5. 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;11.16723556.92

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. na5 · 100.0%