PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (423 utterances, 1,057 words searched).

  1. mimi wa ? %mov:"20002"_450770_451470 FAT · japanese_ishii/20002.cha, line 405 · Jun 2;00
  2. mimi aru ? %mov:"20002"_454010_455703 FAT · japanese_ishii/20002.cha, line 407 · Jun 2;00
  3. mimi nai yan . %mov:"20002"_459421_459421 FAT · japanese_ishii/20002.cha, line 412 · Jun 2;00
  4. kono yukidaruma mimi nai . %mov:"20002"_462422_464347 FAT · japanese_ishii/20002.cha, line 414 · Jun 2;00
  5. mimi ya . %mov:"20002"_471300_472182 FAT · japanese_ishii/20002.cha, line 423 · Jun 2;00
  6. Jun no mimi wa ? %mov:"20002"_472182_473214 FAT · japanese_ishii/20002.cha, line 424 · Jun 2;00
  7. Papa mimi aru ka na ? %mov:"20002"_473214_475904 FAT · japanese_ishii/20002.cha, line 425 · Jun 2;00
  1. japanese_ishii/20002.cha, line 405 · Jun, 2;0.02
    FATkuchi [<] . %mov:"20002"_447896_449846
    FATun, so so so so . %mov:"20002"_449846_450770
    FAT*FAT: mimi wa ? %mov:"20002"_450770_451470
    CHIko . %mov:"20002"_451470_454010
    FATmimi aru ? %mov:"20002"_454010_455703
  2. japanese_ishii/20002.cha, line 407 · Jun, 2;0.02
    FATmimi wa ? %mov:"20002"_450770_451470
    CHIko . %mov:"20002"_451470_454010
    FAT*FAT: mimi aru ? %mov:"20002"_454010_455703
    CHIatta . %mov:"20002"_455703_455703
    FATdoko ni atta . %mov:"20002"_457609_458622
  3. japanese_ishii/20002.cha, line 412 · Jun, 2;0.02
    FATdoko ni atta . %mov:"20002"_457609_458622
    CHIkoko mo . %mov:"20002"_458622_459421
    FAT*FAT: mimi nai yan . %mov:"20002"_459421_459421
    CHIn ? %mov:"20002"_460980_462422
    FATkono yukidaruma mimi nai . %mov:"20002"_462422_464347
  4. japanese_ishii/20002.cha, line 414 · Jun, 2;0.02
    FATmimi nai yan . %mov:"20002"_459421_459421
    CHIn ? %mov:"20002"_460980_462422
    FAT*FAT: kono yukidaruma mimi nai . %mov:"20002"_462422_464347
    CHIkoko . %mov:"20002"_464347_465858
    FATaru ka ? %mov:"20002"_465858_466588
  5. japanese_ishii/20002.cha, line 423 · Jun, 2;0.02
    FATun, koko mo [<] . %mov:"20002"_468498_470594
    CHImimi ya . %mov:"20002"_470594_471300
    FAT*FAT: mimi ya . %mov:"20002"_471300_472182
    FATJun no mimi wa ? %mov:"20002"_472182_473214
    FATPapa mimi aru ka na ? %mov:"20002"_473214_475904
  6. japanese_ishii/20002.cha, line 424 · Jun, 2;0.02
    CHImimi ya . %mov:"20002"_470594_471300
    FATmimi ya . %mov:"20002"_471300_472182
    FAT*FAT: Jun no mimi wa ? %mov:"20002"_472182_473214
    FATPapa mimi aru ka na ? %mov:"20002"_473214_475904
    CHIatta . %mov:"20002"_475904_479257
  7. japanese_ishii/20002.cha, line 425 · Jun, 2;0.02
    FATmimi ya . %mov:"20002"_471300_472182
    FATJun no mimi wa ? %mov:"20002"_472182_473214
    FAT*FAT: Papa mimi aru ka na ? %mov:"20002"_473214_475904
    CHIatta . %mov:"20002"_475904_479257
    FATatta . %mov:"20002"_479257_479850

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_ishii6.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20002.chaJun 2;0.021,057776.62

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. mimi7 · 100.0%