PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (726 utterances, 1,836 words searched).

  1. nani shoo ka naa ? %mov:"30217"_652_1879 FAT · japanese_ishii/30217.cha, line 12 · Jun 3;02
  2. nani shoo,, kondo . %mov:"30217"_2975574_2979102 FAT · japanese_ishii/30217.cha, line 1373 · Jun 3;02
  3. yooshi, nagaku shoo ka,, kore . %mov:"30217"_3471409_3481335 FAT · japanese_ishii/30217.cha, line 1565 · Jun 3;02
  4. koo shoo ka,, kore . %mov:"30217"_3656318_3658342 FAT · japanese_ishii/30217.cha, line 1630 · Jun 3;02
  5. koo shoo ka . %mov:"30217"_3664607_3665347 FAT · japanese_ishii/30217.cha, line 1634 · Jun 3;02
  1. CHIkore . %mov:"30217"_0_652
    FAT*FAT: nani shoo ka naa ? %mov:"30217"_652_1879
    FATkoko [>] koko suwatte . %mov:"30217"_1879_4230
    CHIkore shi # booru shoo ka naa [<] . %mov:"30217"_1879_4230
  2. FATmotto bakku [/] bakku . %mov:"30217"_2953771_2955127
    CHIhaii . %mov:"30217"_2955127_2975574
    FAT*FAT: nani shoo,, kondo . %mov:"30217"_2975574_2979102
    CHIkore shoo . %mov:"30217"_2979102_2981968
    CHIaa aa . %mov:"30217"_2981968_2982997
  3. FATsoroetekudasai . %mov:"30217"_3468356_3470104
    FATkotchi soroemasu yo . %mov:"30217"_3470104_3471409
    FAT*FAT: yooshi, nagaku shoo ka,, kore . %mov:"30217"_3471409_3481335
    CHIun . %mov:"30217"_3481335_3482475
    FATyoishoo ! %mov:"30217"_3482475_3484421
  4. FATbaan@o . %mov:"30217"_3653238_3653991
    CHIwaa, hamarimashitaa . %mov:"30217"_3653991_3656318
    FAT*FAT: koo shoo ka,, kore . %mov:"30217"_3656318_3658342
    CHIare, hashiranai . %mov:"30217"_3658342_3660863
    FATakan . %mov:"30217"_3660863_3661798
  5. FATakan . %mov:"30217"_3660863_3661798
    CHIkoo wa ? %mov:"30217"_3661798_3664607
    FAT*FAT: koo shoo ka . %mov:"30217"_3664607_3665347
    FATaa, kirechatta . %mov:"30217"_3665347_3679742
    FATnaorimashita ka . %mov:"30217"_3679742_3685378

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_ishii2.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30217.chaJun 3;2.171,836552.72

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. shoo5 · 100.0%