PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. piipoopiipoo@o doko ni aru no, sagashaite . %mov:"20017"_381108_386121 FAT · japanese_ishii/20017.cha, line 256 · Jun 2;00
  2. Junkun piipoopiipoo@o notta ? %mov:"20017"_387637_390638 FAT · japanese_ishii/20017.cha, line 258 · Jun 2;00
  3. doko itta ka na, piipoopiipoo@o . %mov:"20017"_390638_393088 FAT · japanese_ishii/20017.cha, line 259 · Jun 2;00
  4. piipoopiipoo@o nai ka ? %mov:"20017"_395874_398790 FAT · japanese_ishii/20017.cha, line 262 · Jun 2;00
  5. piipoopiipoo@o atta nee ? %mov:"20017"_401108_404566 FAT · japanese_ishii/20017.cha, line 264 · Jun 2;00
  6. piipoopiipoo@o nai nee . %mov:"20017"_426121_427568 FAT · japanese_ishii/20017.cha, line 278 · Jun 2;00
  7. Junkun notta,, piipoopiipoo@o . %mov:"20017"_520709_522261 FAT · japanese_ishii/20017.cha, line 343 · Jun 2;00
  1. FATJun kore . %mov:"20017"_378611_379357
    FATuun ? %mov:"20017"_379357_381108
    FAT*FAT: piipoopiipoo@o doko ni aru no, sagashaite . %mov:"20017"_381108_386121
    FATJunkun nottan dore ? %mov:"20017"_386121_387637
    FATJunkun piipoopiipoo@o notta ? %mov:"20017"_387637_390638
  2. 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
  3. FATJunkun nottan dore ? %mov:"20017"_386121_387637
    FATJunkun piipoopiipoo@o notta ? %mov:"20017"_387637_390638
    FAT*FAT: doko itta ka na, piipoopiipoo@o . %mov:"20017"_390638_393088
    FATkotchi yatta ka ne ? %mov:"20017"_393088_394205
    FATare ? %mov:"20017"_394205_395874
  4. FATkotchi yatta ka ne ? %mov:"20017"_393088_394205
    FATare ? %mov:"20017"_394205_395874
    FAT*FAT: piipoopiipoo@o nai ka ? %mov:"20017"_395874_398790
    FATokashii naa . %mov:"20017"_398790_401108
    FATpiipoopiipoo@o atta nee ? %mov:"20017"_401108_404566
  5. FATpiipoopiipoo@o nai ka ? %mov:"20017"_395874_398790
    FATokashii naa . %mov:"20017"_398790_401108
    FAT*FAT: piipoopiipoo@o atta nee ? %mov:"20017"_401108_404566
    FATdoko yatta ka na ? %mov:"20017"_404566_405828
    CHInai yo . %mov:"20017"_405828_406849
  6. FATaree ? %mov:"20017"_421046_422910
    FATokashii nee . %mov:"20017"_422910_426121
    FAT*FAT: piipoopiipoo@o nai nee . %mov:"20017"_426121_427568
    CHIa <atta> [>] . %mov:"20017"_427568_429762
    FAT<kore> [<] patokaa ya naa . %mov:"20017"_427568_429762
  7. 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

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_ishii7.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935777.49

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. piipoopiipoo7 · 100.0%