PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 935 words searched).

  1. Junkun piipoopiipoo@o notta ? %mov:"20017"_387637_390638 FAT · japanese_ishii/20017.cha, line 258 · Jun 2;00
  2. Junkun notta,, piipoopiipoo@o . %mov:"20017"_520709_522261 FAT · japanese_ishii/20017.cha, line 343 · Jun 2;00
  3. notta ? %mov:"20017"_523992_524575 FAT · japanese_ishii/20017.cha, line 345 · Jun 2;00
  4. dare to notta ? %mov:"20017"_524575_527133 FAT · japanese_ishii/20017.cha, line 346 · Jun 2;00
  5. Chaachan to issho ni notta . %mov:"20017"_528808_530003 FAT · japanese_ishii/20017.cha, line 348 · Jun 2;00
  1. FATpiipoopiipoo@o doko ni aru no, sagashaite . %mov:"20017"_381108_386121
    FATJunkun nottan dore ? %mov:"20017"_386121_387637
    FAT*FAT: Junkun piipoopiipoo@o notta ? %mov:"20017"_387637_390638
    FATdoko itta ka na, piipoopiipoo@o . %mov:"20017"_390638_393088
    FATkotchi yatta ka ne ? %mov:"20017"_393088_394205
  2. CHIpiipoo [>] . %mov:"20017"_519077_520709
    FATuun [<] . %mov:"20017"_519077_520709
    FAT*FAT: Junkun notta,, piipoopiipoo@o . %mov:"20017"_520709_522261
    CHIn ? %mov:"20017"_522261_523992
    FATnotta ? %mov:"20017"_523992_524575
  3. FATJunkun notta,, piipoopiipoo@o . %mov:"20017"_520709_522261
    CHIn ? %mov:"20017"_522261_523992
    FAT*FAT: notta ? %mov:"20017"_523992_524575
    FATdare to notta ? %mov:"20017"_524575_527133
    CHIchaacha . %mov:"20017"_527133_528808
  4. CHIn ? %mov:"20017"_522261_523992
    FATnotta ? %mov:"20017"_523992_524575
    FAT*FAT: dare to notta ? %mov:"20017"_524575_527133
    CHIchaacha . %mov:"20017"_527133_528808
    FATChaachan to issho ni notta . %mov:"20017"_528808_530003
  5. FATdare to notta ? %mov:"20017"_524575_527133
    CHIchaacha . %mov:"20017"_527133_528808
    FAT*FAT: Chaachan to issho ni notta . %mov:"20017"_528808_530003
    FATdoko itta ? %mov:"20017"_530003_530614
    FAToishasan itta n. %mov:"20017"_530614_533059

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_ishii5.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935555.35

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. notta5 · 100.0%