PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

18.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (221 utterances, 545 words searched).

  1. e ? %mov:"10600"_109438_110030 FAT · japanese_ishii/10600.cha, line 94 · Jun 1;06
  2. e ? %mov:"10600"_112090_112628 FAT · japanese_ishii/10600.cha, line 98 · Jun 1;06
  3. e [<] ? %mov:"10600"_306736_308356 FAT · japanese_ishii/10600.cha, line 237 · Jun 1;06
  4. e ? %mov:"10600"_317323_317740 FAT · japanese_ishii/10600.cha, line 248 · Jun 1;06
  5. e ? %mov:"10600"_342752_343298 FAT · japanese_ishii/10600.cha, line 271 · Jun 1;06
  6. e ? %mov:"10600"_420587_420587 FAT · japanese_ishii/10600.cha, line 331 · Jun 1;06
  7. e ? %mov:"10600"_464864_465286 FAT · japanese_ishii/10600.cha, line 357 · Jun 1;06
  8. Junkun no wanwan@o no gohon (wa) doko (e) itta no ? %mov:"10600"_559705_562449 FAT · japanese_ishii/10600.cha, line 422 · Jun 1;06
  9. e ? %mov:"10600"_599076_599466 FAT · japanese_ishii/10600.cha, line 445 · Jun 1;06
  10. e ? %mov:"10600"_612307_612993 FAT · japanese_ishii/10600.cha, line 456 · Jun 1;06
  1. FATkore (wa) dare ? %mov:"10600"_107501_107501
    CHItyaatyai . %mov:"10600"_108476_109438
    FAT*FAT: e ? %mov:"10600"_109438_110030
    CHItyaua . %mov:"10600"_110030_110030
    FATkore (wa) <dare> [>] ? %mov:"10600"_110856_112090
  2. FATkore (wa) <dare> [>] ? %mov:"10600"_110856_112090
    CHI<tyaa> [<] toi . %mov:"10600"_110856_112090
    FAT*FAT: e ? %mov:"10600"_112090_112628
    CHItyaayota . %mov:"10600"_112628_113556
    FATsoo ka . %mov:"10600"_113556_114192
  3. FATJunkun (wa) dono jidoosha ga ii ? %mov:"10600"_303528_306736
    CHIbubu <buu> [>] . %mov:"10600"_306736_308356
    FAT*FAT: e [<] ? %mov:"10600"_306736_308356
    FATkore (ga) ii ? %mov:"10600"_308356_308843
    CHIuu uute . %mov:"10600"_308843_308843
  4. FAT<kore (wa) dare deshu [: desu]> [<] kaa . %mov:"10600"_313850_316500
    CHItaiyoobu . %mov:"10600"_316500_317323
    FAT*FAT: e ? %mov:"10600"_317323_317740
    CHIdaiyoob . %mov:"10600"_317740_318508
    FATChaachan [: Okaasan] ? %mov:"10600"_318508_319269
  5. FAToneechan . %mov:"10600"_339534_340604
    CHImamma . %mov:"10600"_340604_342752
    FAT*FAT: e ? %mov:"10600"_342752_343298
    CHImammai . %mov:"10600"_343298_344076
    FATmamma (o) shiten no ? %mov:"10600"_344076_345099
  6. FATkono oningyosan (wa) nani (o) shiten no,, kono oningyosan . %mov:"10600"_413976_419140
    CHIuu uuta . %mov:"10600"_419140_420587
    FAT*FAT: e ? %mov:"10600"_420587_420587
    CHIuute . %mov:"10600"_421401_424381
    CHIuute . %mov:"10600"_424381_424381
  7. FATkore (wa) nani (o) shitahan [: shiteru] no,, kore . %mov:"10600"_460435_460435
    CHIteeta . %mov:"10600"_462621_464864
    FAT*FAT: e ? %mov:"10600"_464864_465286
    CHIteetya . %mov:"10600"_465286_466124
    CHIu <waau> [>] . %mov:"10600"_466124_468398
  8. CHIxxx . %mov:"10600"_556426_558006
    FATwanwan@o no gohon (o) mottekite yo, Junkun . %mov:"10600"_558006_559705
    FAT*FAT: Junkun no wanwan@o no gohon (wa) doko (e) itta no ? %mov:"10600"_559705_562449
    CHIbua . %mov:"10600"_562449_576265
    CHIitaata . %mov:"10600"_576265_578447
  9. FATkoo sun no ? %mov:"10600"_596472_596947
    CHIteiye . %mov:"10600"_596947_599076
    FAT*FAT: e ? %mov:"10600"_599076_599466
    CHIitaiya <xxx> [>] . %mov:"10600"_599466_607671
    FAThai [<] . %mov:"10600"_599466_607671
  10. FATnenne sun [: suru] no ? %mov:"10600"_610577_611322
    CHInenne . %mov:"10600"_611322_612307
    FAT*FAT: e ? %mov:"10600"_612307_612993
    FATnenne suru ? %mov:"10600"_612993_615534
    CHIxxx . %mov:"10600"_615534_617269

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_ishii18.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10600.chaJun 1;6.01545101018.35

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. e10 · 100.0%