PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (356 utterances, 900 words searched).

  1. dare ga biibii@o shita ya . %mov:"20023"_78465_78465 FAT · japanese_ishii/20023.cha, line 60 · Jun 2;00
  2. dare ga baka ? %mov:"20023"_101792_104336 FAT · japanese_ishii/20023.cha, line 76 · Jun 2;00
  3. kore dare ? %mov:"20023"_174904_178338 FAT · japanese_ishii/20023.cha, line 134 · Jun 2;00
  4. dare ya,, yabutta no wa . %mov:"20023"_275009_276340 FAT · japanese_ishii/20023.cha, line 198 · Jun 2;00
  5. dare ya, xxx yabutta no wa . %mov:"20023"_278820_280759 FAT · japanese_ishii/20023.cha, line 200 · Jun 2;00
  6. poppo@o dare to notta no ? %mov:"20023"_431237_432858 FAT · japanese_ishii/20023.cha, line 305 · Jun 2;00
  7. dare to notta n,, piipopiipo@o ? %mov:"20023"_667470_669971 FAT · japanese_ishii/20023.cha, line 471 · Jun 2;00
  1. FATchigau ? %mov:"20023"_76818_78020
    FAThora . %mov:"20023"_78020_78465
    FAT*FAT: dare ga biibii@o shita ya . %mov:"20023"_78465_78465
    CHIJun . %mov:"20023"_81249_82274
    FATdame # warui ko ya na,, kono ko wa .%mov:"20023"_82274_84684
  2. CHIbaka . %mov:"20023"_98601_99502
    FATbaka ? %mov:"20023"_99502_101792
    FAT*FAT: dare ga baka ? %mov:"20023"_101792_104336
    CHIJun ya . %mov:"20023"_104336_104336
    CHIJun ya . %mov:"20023"_105410_106990
  3. FATnon [: noru] no . %mov:"20023"_172976_173739
    FATdensha non [: noru] no . %mov:"20023"_173739_174904
    FAT*FAT: kore dare ? %mov:"20023"_174904_178338
    FATJun ka,, kore . %mov:"20023"_178338_179587
    CHIchuwa eba ba iichan ya . %mov:"20023"_179587_182961
  4. FATaa aa . %mov:"20023"_272805_273636
    CHIbaatte ta . %mov:"20023"_273636_275009
    FAT*FAT: dare ya,, yabutta no wa . %mov:"20023"_275009_276340
    CHIun ? %mov:"20023"_276340_278820
    FATdare ya, xxx yabutta no wa . %mov:"20023"_278820_280759
  5. FATdare ya,, yabutta no wa . %mov:"20023"_275009_276340
    CHIun ? %mov:"20023"_276340_278820
    FAT*FAT: dare ya, xxx yabutta no wa . %mov:"20023"_278820_280759
    CHIkooniiwa . %mov:"20023"_280759_282648
    FATun ? %mov:"20023"_282648_283800
  6. FATe ? %mov:"20023"_429507_429988
    CHIpoppo . %mov:"20023"_429988_431237
    FAT*FAT: poppo@o dare to notta no ? %mov:"20023"_431237_432858
    CHIJun ya . %mov:"20023"_432858_433762
    FATJun to ? %mov:"20023"_433762_434396
  7. FAToishasan itta ? %mov:"20023"_665566_666655
    CHIn ? %mov:"20023"_666655_667470
    FAT*FAT: dare to notta n,, piipopiipo@o ? %mov:"20023"_667470_669971
    CHIa jun ta . %mov:"20023"_669971_669971
    FATe ? %mov:"20023"_672596_673072

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_ishii7.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20023.chaJun 2;0.23900777.78

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. dare7 · 100.0%