PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

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

  1. e ? %mov:"20023"_64055_64627 FAT · japanese_ishii/20023.cha, line 48 · Jun 2;00
  2. e ? %mov:"20023"_98063_98601 FAT · japanese_ishii/20023.cha, line 73 · Jun 2;00
  3. e ? %mov:"20023"_191472_192014 FAT · japanese_ishii/20023.cha, line 145 · Jun 2;00
  4. e ? %mov:"20023"_352701_353638 FAT · japanese_ishii/20023.cha, line 254 · Jun 2;00
  5. e ? %mov:"20023"_429507_429988 FAT · japanese_ishii/20023.cha, line 303 · Jun 2;00
  6. e ? %mov:"20023"_475406_475989 FAT · japanese_ishii/20023.cha, line 335 · Jun 2;00
  7. e ? %mov:"20023"_640346_640984 FAT · japanese_ishii/20023.cha, line 448 · Jun 2;00
  8. e ? %mov:"20023"_672596_673072 FAT · japanese_ishii/20023.cha, line 473 · Jun 2;00
  9. e ? %mov:"20023"_869273_869499 FAT · japanese_ishii/20023.cha, line 623 · Jun 2;00
  10. e ? %mov:"20023"_944332_944788 FAT · japanese_ishii/20023.cha, line 676 · Jun 2;00
  11. e ? %mov:"20023"_971957_972685 FAT · japanese_ishii/20023.cha, line 692 · Jun 2;00
  1. FATippai . %mov:"20023"_61163_62604
    CHIaru # noko ? %mov:"20023"_62604_64055
    FAT*FAT: e ? %mov:"20023"_64055_64627
    FATsore dame ya . %mov:"20023"_64627_65257
    FAThantai ya . %mov:"20023"_65257_65949
  2. FATwarui naa . %mov:"20023"_94551_96566
    CHIbakabaka yuu wa . %mov:"20023"_96566_98063
    FAT*FAT: e ? %mov:"20023"_98063_98601
    CHIbaka . %mov:"20023"_98601_99502
    FATbaka ? %mov:"20023"_99502_101792
  3. FATchigau . %mov:"20023"_189697_190311
    CHIapon ya . %mov:"20023"_190311_191472
    FAT*FAT: e ? %mov:"20023"_191472_192014
    CHIapon ii wa . %mov:"20023"_192014_194433
    FATyapon@o [= ball] ? %mov:"20023"_194433_195113
  4. FATsore Jun no ? %mov:"20023"_349208_350126
    CHIa Jun ya . %mov:"20023"_350126_352701
    FAT*FAT: e ? %mov:"20023"_352701_353638
    CHIae Jun . %mov:"20023"_353638_354545
    FATJun no jidoosha,, sore ? %mov:"20023"_354545_356201
  5. FATJun ga . %mov:"20023"_427290_427865
    CHIakkoi Jun wa. %mov:"20023"_427865_429507
    FAT*FAT: e ? %mov:"20023"_429507_429988
    CHIpoppo . %mov:"20023"_429988_431237
    FATpoppo@o dare to notta no ? %mov:"20023"_431237_432858
  6. FATsoko oshiri ka . %mov:"20023"_472203_473878
    CHImeencheua . %mov:"20023"_473878_475406
    FAT*FAT: e ? %mov:"20023"_475406_475989
    CHIpen . %mov:"20023"_475989_476807
    CHIkoe a ? %mov:"20023"_476807_479125
  7. FATfune , un . %mov:"20023"_637042_638260
    CHIchau wa . %mov:"20023"_638260_640346
    FAT*FAT: e ? %mov:"20023"_640346_640984
    CHIchau . %mov:"20023"_640984_642206
    FATchigau ? %mov:"20023"_640984_642814
  8. FATdare to notta n,, piipopiipo@o ? %mov:"20023"_667470_669971
    CHIa jun ta . %mov:"20023"_669971_669971
    FAT*FAT: e ? %mov:"20023"_672596_673072
    CHIajichan ya . %mov:"20023"_673072_673072
    FATojichan notteta n . %mov:"20023"_674509_675811
  9. FATun . %mov:"20023"_866940_867840
    CHIxxx. %mov:"20023"_867840_869273
    FAT*FAT: e ? %mov:"20023"_869273_869499
    CHIuu uu uu ya . %mov:"20023"_869499_870743
    FATuu uu uu ka . %mov:"20023"_870743_871745
  10. FATxxx chiisai ka ? %mov:"20023"_939669_941170
    CHIaa aa shuru wa ? %mov:"20023"_941170_944332
    FAT*FAT: e ? %mov:"20023"_944332_944788
    CHIaa aa shoru wa ? %mov:"20023"_944788_946023
    FATnani ? %mov:"20023"_946023_947153
  11. FATJun no jidoosha mottekite . %mov:"20023"_969379_970838
    CHInaai . %mov:"20023"_970838_971957
    FAT*FAT: e ? %mov:"20023"_971957_972685
    FATnai no ? %mov:"20023"_972685_973524
    CHInai [>] . %mov:"20023"_973524_977411

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_ishii12.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20023.chaJun 2;0.23900111112.22

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. e11 · 100.0%