PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

1.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (697 utterances, 2,037 words searched).

  1. nan daro . %mov:"30622"_284571_285331 FAT · japanese_ishii/30622.cha, line 127 · Jun 3;06
  2. mizu # mizu ga attara kuruma de wa hashirahen daro . %mov:"30622"_346263_349077 FAT · japanese_ishii/30622.cha, line 161 · Jun 3;06
  3. ofune ni kuruma tsuitehen daro . %mov:"30622"_352096_354096 FAT · japanese_ishii/30622.cha, line 163 · Jun 3;06
  4. awahen [: awanai] daro . %mov:"30622"_825530_826494 FAT · japanese_ishii/30622.cha, line 383 · Jun 3;06
  1. japanese_ishii/30622.cha, line 127 · Jun, 3;6.22
    FATchigau yaro,, sore . %mov:"30622"_282780_284031
    CHIun . %mov:"30622"_284031_284571
    FAT*FAT: nan daro . %mov:"30622"_284571_285331
    CHInan daro . %mov:"30622"_285331_286708
    CHIe ? %mov:"30622"_286708_288670
  2. japanese_ishii/30622.cha, line 161 · Jun, 3;6.22
    FATkuruma atte mo # umi no ue hashirahen yaro,, kuruma de wa . %mov:"30622"_340020_344835
    CHIkore ? %mov:"30622"_344835_346263
    FAT*FAT: mizu # mizu ga attara kuruma de wa hashirahen daro . %mov:"30622"_346263_349077
    CHIhashiru de . %mov:"30622"_349077_352096
    FATofune ni kuruma tsuitehen daro . %mov:"30622"_352096_354096
  3. japanese_ishii/30622.cha, line 163 · Jun, 3;6.22
    FATmizu # mizu ga attara kuruma de wa hashirahen daro . %mov:"30622"_346263_349077
    CHIhashiru de . %mov:"30622"_349077_352096
    FAT*FAT: ofune ni kuruma tsuitehen daro . %mov:"30622"_352096_354096
    CHInoseteittara ii yan,, hoobaakurafuto no ue poon@o tte, noseteittara ii nya . %mov:"30622"_354096_360967
    CHIsoo yaro ? %mov:"30622"_360967_363420
  4. japanese_ishii/30622.cha, line 383 · Jun, 3;6.22
    CHIfuun@o ! %mov:"30622"_821933_824422
    FATsore wa akan yaro . %mov:"30622"_823536_825530
    FAT*FAT: awahen [: awanai] daro . %mov:"30622"_825530_826494
    CHIawahen demo ii no . %mov:"30622"_826494_829642
    FATsoo ka . %mov:"30622"_829642_830182

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_ishii1.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30622.chaJun 3;6.222,037441.96

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. daro4 · 100.0%