PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (629 utterances, 1,500 words searched).

  1. doo shoo ? %mov:"20609"_69639_70270 FAT · japanese_ishii/20609.cha, line 52 · Jun 2;06
  2. doo sun no . %mov:"20609"_115319_116077 FAT · japanese_ishii/20609.cha, line 77 · Jun 2;06
  3. akushu te doo sun no ? %mov:"20609"_328602_329512 FAT · japanese_ishii/20609.cha, line 228 · Jun 2;06
  4. doo shita no ? %mov:"20609"_722273_723063 FAT · japanese_ishii/20609.cha, line 450 · Jun 2;06
  5. sonna koe dashitara doo sun no ? %mov:"20609"_1761960_1763538 FAT · japanese_ishii/20609.cha, line 1101 · Jun 2;06
  1. CHIkowateru [: kowareteru] wa ,, kore . %mov:"20609"_66617_68438
    FATfuun, kowareteru no . %mov:"20609"_68438_69639
    FAT*FAT: doo shoo ? %mov:"20609"_69639_70270
    CHIpoi@o [: throwing away] shoo ka ,, kore . %mov:"20609"_70270_72046
    FATsonna, poi@o shitara akan yo . %mov:"20609"_72046_73741
  2. FAThai, akushu . %mov:"20609"_113295_113295
    CHIakushu . %mov:"20609"_114166_115319
    FAT*FAT: doo sun no . %mov:"20609"_115319_116077
    CHIakushu [>] . %mov:"20609"_116077_117185
    FATkoo ya ,, akushu [<] . %mov:"20609"_116077_117185
  3. CHItaima [<] . %mov:"20609"_326237_328034
    FATokaeri . %mov:"20609"_328034_328602
    FAT*FAT: akushu te doo sun no ? %mov:"20609"_328602_329512
    FATkoo sun no ? %mov:"20609"_329512_329770
    CHIakushu . %mov:"20609"_329770_330565
  4. CHItaiya ga nai wa, hore . %mov:"20609"_720005_721402
    FATtaiya ga nai wa . %mov:"20609"_721402_722273
    FAT*FAT: doo shita no ? %mov:"20609"_722273_723063
    CHInai no . %mov:"20609"_723063_724558
    FATzembu totchatta no ? %mov:"20609"_724558_724558
  5. FATaa, koko ka . %mov:"20609"_1755658_1759474
    FATurusai ! %mov:"20609"_1759474_1761960
    FAT*FAT: sonna koe dashitara doo sun no ? %mov:"20609"_1761960_1763538
    FAThai, doomonai . %mov:"20609"_1763538_1767921
    CHIpittou [: pisutoru] wa . %mov:"20609"_1767921_1769170

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_ishii3.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20609.chaJun 2;6.091,500553.33

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. doo5 · 100.0%