PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

24.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (162 utterances, 373 words searched).

  1. ofune no gohon wa ? %mov:"11107"_65889_67544 FAT · japanese_ishii/11107.cha, line 68 · Jun 1;11
  2. Neechan wa ? %mov:"11107"_148559_155317 FAT · japanese_ishii/11107.cha, line 143 · Jun 1;11
  3. un, Neechan wa ? %mov:"11107"_174163_175158 FAT · japanese_ishii/11107.cha, line 164 · Jun 1;11
  4. Niichan wa ? %mov:"11107"_201002_201694 FAT · japanese_ishii/11107.cha, line 191 · Jun 1;11
  5. kore wa ? %mov:"11107"_370038_370823 FAT · japanese_ishii/11107.cha, line 310 · Jun 1;11
  6. kore wa ? %mov:"11107"_384842_385345 FAT · japanese_ishii/11107.cha, line 326 · Jun 1;11
  7. kore wa ? %mov:"11107"_386804_387475 FAT · japanese_ishii/11107.cha, line 328 · Jun 1;11
  8. kowashitehen,, ofune no gohon wa . %mov:"11107"_462432_464125 FAT · japanese_ishii/11107.cha, line 385 · Jun 1;11
  9. wa, hikooki ya . %mov:"11107"_542786_543908 FAT · japanese_ishii/11107.cha, line 449 · Jun 1;11
  1. japanese_ishii/11107.cha, line 68 · Jun, 1;11.07
    FAThe ? %mov:"11107"_64067_64557
    CHIuchua . %mov:"11107"_64557_65889
    FAT*FAT: ofune no gohon wa ? %mov:"11107"_65889_67544
    CHInai . %mov:"11107"_67544_68105
    FATnai . %mov:"11107"_68105_69274
  2. japanese_ishii/11107.cha, line 143 · Jun, 1;11.07
    FATso . %mov:"11107"_146411_147022
    CHIxxx . %mov:"11107"_147022_148559
    FAT*FAT: Neechan wa ? %mov:"11107"_148559_155317
    CHIhora . %mov:"11107"_155317_155838
    FATun . %mov:"11107"_155838_156628
  3. japanese_ishii/11107.cha, line 164 · Jun, 1;11.07
    CHInai . %mov:"11107"_171680_172808
    CHInai ? %mov:"11107"_172808_174163
    FAT*FAT: un, Neechan wa ? %mov:"11107"_174163_175158
    CHInai . %mov:"11107"_175158_175711
    CHIgakko . %mov:"11107"_175711_176431
  4. japanese_ishii/11107.cha, line 191 · Jun, 1;11.07
    CHIxxx . %mov:"11107"_194485_197084
    CHIxxx . %mov:"11107"_197084_201002
    FAT*FAT: Niichan wa ? %mov:"11107"_201002_201694
    CHInai iichatta . %mov:"11107"_201694_203120
    FATdoko e . %mov:"11107"_203120_204411
  5. japanese_ishii/11107.cha, line 310 · Jun, 1;11.07
    CHIeecha . %mov:"11107"_367464_368530
    FATkore neechan ka ? %mov:"11107"_368530_370038
    FAT*FAT: kore wa ? %mov:"11107"_370038_370823
    CHIshiai . %mov:"11107"_370823_373575
    FATe ? %mov:"11107"_373575_373955
  6. japanese_ishii/11107.cha, line 326 · Jun, 1;11.07
    FATe ? %mov:"11107"_382529_383103
    CHIpapa . %mov:"11107"_383103_384842
    FAT*FAT: kore wa ? %mov:"11107"_384842_385345
    CHIdaada . %mov:"11107"_385345_386804
    FATkore wa ? %mov:"11107"_386804_387475
  7. japanese_ishii/11107.cha, line 328 · Jun, 1;11.07
    FATkore wa ? %mov:"11107"_384842_385345
    CHIdaada . %mov:"11107"_385345_386804
    FAT*FAT: kore wa ? %mov:"11107"_386804_387475
    CHItaata . %mov:"11107"_387475_388250
    FATchaachan ? %mov:"11107"_388250_389066
  8. japanese_ishii/11107.cha, line 385 · Jun, 1;11.07
    FATe ? %mov:"11107"_461165_461681
    CHIkowatta . %mov:"11107"_461681_462432
    FAT*FAT: kowashitehen,, ofune no gohon wa . %mov:"11107"_462432_464125
    CHInai nai . %mov:"11107"_464125_465722
    FATmottekite . %mov:"11107"_465722_467037
  9. japanese_ishii/11107.cha, line 449 · Jun, 1;11.07
    FATJun ga . %mov:"11107"_540499_541503
    CHIxxx Jun . %mov:"11107"_541503_542786
    FAT*FAT: wa, hikooki ya . %mov:"11107"_542786_543908
    CHIxxx . %mov:"11107"_543908_549684
    CHIxxx . %mov:"11107"_549684_550841

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_ishii24.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11107.chaJun 1;11.073739924.13

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. wa9 · 100.0%