PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

19.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (227 utterances, 517 words searched).

  1. n ? %mov:"10008"_89880_89880 FAT · japanese_ishii/10008.cha, line 56 · Jun 1;00
  2. n, yonde . %mov:"10008"_100247_101291 FAT · japanese_ishii/10008.cha, line 64 · Jun 1;00
  3. n ? %mov:"10008"_107449_108121 FAT · japanese_ishii/10008.cha, line 68 · Jun 1;00
  4. n ? %mov:"10008"_151724_152617 FAT · japanese_ishii/10008.cha, line 97 · Jun 1;00
  5. n ? %mov:"10008"_173812_175330 FAT · japanese_ishii/10008.cha, line 117 · Jun 1;00
  6. n ? %mov:"10008"_180470_181536 FAT · japanese_ishii/10008.cha, line 120 · Jun 1;00
  7. n ? %mov:"10008"_300027_302760 FAT · japanese_ishii/10008.cha, line 164 · Jun 1;00
  8. n ? %mov:"10008"_353204_353726 FAT · japanese_ishii/10008.cha, line 176 · Jun 1;00
  9. koko totta n [: totta no] . %mov:"10008"_368461_370333 FAT · japanese_ishii/10008.cha, line 191 · Jun 1;00
  10. moo tsukareta n [: no] . %mov:"10008"_825048_827618 FAT · japanese_ishii/10008.cha, line 439 · Jun 1;00
  1. FATbuu@o (to) yuuteru [: itte+iru] ? %mov:"10008"_84808_88076
    FATbuu@o (to) yuuteru [: itte+iru] ? %mov:"10008"_88076_89880
    FAT*FAT: n ? %mov:"10008"_89880_89880
    CHIuuwa . %mov:"10008"_92222_93439
    FATdore ga . %mov:"10008"_93439_94965
  2. FATe ? %mov:"10008"_94965_98902
    CHInnaaie . %mov:"10008"_98902_100247
    FAT*FAT: n, yonde . %mov:"10008"_100247_101291
    FATooi tte . %mov:"10008"_101291_102683
    CHIaiji . %mov:"10008"_102683_107449
  3. FATooi tte . %mov:"10008"_101291_102683
    CHIaiji . %mov:"10008"_102683_107449
    FAT*FAT: n ? %mov:"10008"_107449_108121
    CHIa . %mov:"10008"_108121_111397
    CHIaa aa aa aa . %mov:"10008"_111397_113941
  4. FATnabuttara [: sawattara] itataa yo . %mov:"10008"_147775_147775
    FATachichii itataa yo . %mov:"10008"_149199_151724
    FAT*FAT: n ? %mov:"10008"_151724_152617
    CHIaa aa aa . %mov:"10008"_152617_155446
    FAToo oo oo . %mov:"10008"_155446_156803
  5. FATchutchu@o [<] . %mov:"10008"_171297_172248
    FATchutchu@o ita deshoo ? %mov:"10008"_172248_173812
    FAT*FAT: n ? %mov:"10008"_173812_175330
    FATchutchu@o ita deshoo ? %mov:"10008"_175330_178064
    CHIuwaa . %mov:"10008"_178064_180470
  6. FATchutchu@o ita deshoo ? %mov:"10008"_175330_178064
    CHIuwaa . %mov:"10008"_178064_180470
    FAT*FAT: n ? %mov:"10008"_180470_181536
    CHIaa aa . %mov:"10008"_181536_183083
    FATdore ga . %mov:"10008"_183083_184461
  7. FATdare ga . %mov:"10008"_297595_298455
    FATdare ga aa aa shita no ? %mov:"10008"_298455_300027
    FAT*FAT: n ? %mov:"10008"_300027_302760
    FATaa ? %mov:"10008"_323145_328538
    CHIoooooo . %mov:"10008"_342960_348338
  8. FAToo oo oo tte yuuteru [: itteru] ? %mov:"10008"_350008_351446
    CHIhia . %mov:"10008"_351446_353204
    FAT*FAT: n ? %mov:"10008"_353204_353726
    FATbuu@o yuuteru [: itteru] ? %mov:"10008"_353726_355104
    FATbuu@o yuuteru [: itteru] ? %mov:"10008"_355104_357240
  9. CHIa . %mov:"10008"_365462_366161
    CHIaa aa ! %mov:"10008"_366161_368461
    FAT*FAT: koko totta n [: totta no] . %mov:"10008"_368461_370333
    FATaa aa shita no,, sore (o) totte . %mov:"10008"_370333_372007
    FATdare ga shita . %mov:"10008"_372007_373806
  10. FATnani ga . %mov:"10008"_818882_822662
    FATmoo iya nan [: na no] . %mov:"10008"_822662_825048
    FAT*FAT: moo tsukareta n [: no] . %mov:"10008"_825048_827618
    CHIaa aa [<] . %mov:"10008"_825048_827618
    FATdore ga . %mov:"10008"_827618_828362

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_ishii19.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10008.chaJun 1;0.08517101019.34

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. n10 · 100.0%