PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

4.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (753 utterances, 1,884 words searched).

  1. omizu detekun no . %mov:"20713"_290506_291511 FAT · japanese_ishii/20713.cha, line 223 · Jun 2;07
  2. omizu doo sun no . %mov:"20713"_291511_292670 FAT · japanese_ishii/20713.cha, line 224 · Jun 2;07
  3. omizu ga detekite # omizu doo sun no,, shooboojidoosha ? %mov:"20713"_3053… FAT · japanese_ishii/20713.cha, line 234 · Jun 2;07
  4. omizu ga detekite # omizu doo sun no,, shooboojidoosha ? %mov:"20713"_305343_307916 FAT · japanese_ishii/20713.cha, line 234 · Jun 2;07
  5. ouchi ga moeta toki omizu kakete kesu no yo . %mov:"20713"_311420_313981 FAT · japanese_ishii/20713.cha, line 238 · Jun 2;07
  6. un, nde [: sorede] kore de kesu no,, omizu jaa@o kakete . %mov:"20713"_328526_331456 FAT · japanese_ishii/20713.cha, line 248 · Jun 2;07
  7. ouchi ga moetara kesu no yo,, omizu kakete . %mov:"20713"_348450_352267 FAT · japanese_ishii/20713.cha, line 261 · Jun 2;07
  8. jaa@o tte omizu kaken ne . %mov:"20713"_355727_357687 FAT · japanese_ishii/20713.cha, line 266 · Jun 2;07
  9. omizu kakete kesu no yo . %mov:"20713"_368303_371203 FAT · japanese_ishii/20713.cha, line 274 · Jun 2;07
  1. japanese_ishii/20713.cha, line 223 · Jun, 2;7.13
    FATshooboojidoosha te nani suru no ? %mov:"20713"_283577_287248
    CHIgachan@o gachan@o omizu detekun no . %mov:"20713"_287248_290506
    FAT*FAT: omizu detekun no . %mov:"20713"_290506_291511
    FATomizu doo sun no . %mov:"20713"_291511_292670
    CHIkoko de koo # jaajaa@o koko de # jaajaa@o de . %mov:"20713"_292670_297815
  2. japanese_ishii/20713.cha, line 224 · Jun, 2;7.13
    CHIgachan@o gachan@o omizu detekun no . %mov:"20713"_287248_290506
    FATomizu detekun no . %mov:"20713"_290506_291511
    FAT*FAT: omizu doo sun no . %mov:"20713"_291511_292670
    CHIkoko de koo # jaajaa@o koko de # jaajaa@o de . %mov:"20713"_292670_297815
    FATun . %mov:"20713"_297815_298241
  3. japanese_ishii/20713.cha, line 234 · Jun, 2;7.13
    FATe ? %mov:"20713"_303261_303695
    CHIdetekun no,, omizu ga . %mov:"20713"_303695_305343
    FAT*FAT: omizu ga detekite # omizu doo sun no,, shooboojidoosha ? %mov:"20713"_305343_307916
    CHIkoko ya . %mov:"20713"_307916_309405
    FATouchi ga nee +... %mov:"20713"_309405_310705
  4. japanese_ishii/20713.cha, line 238 · Jun, 2;7.13
    FATouchi ga nee +... %mov:"20713"_309405_310705
    CHIn ? %mov:"20713"_310705_311420
    FAT*FAT: ouchi ga moeta toki omizu kakete kesu no yo . %mov:"20713"_311420_313981
    CHIkesu no . %mov:"20713"_313981_315359
    FATun . %mov:"20713"_315359_315838
  5. japanese_ishii/20713.cha, line 248 · Jun, 2;7.13
    FATterebi de ouchi ga moeteta deshoo,, kinoo mitetara,, terebi mitetara . %mov:"20713"_322528_327259
    CHIkore ka ? %mov:"20713"_327259_328526
    FAT*FAT: un, nde [: sorede] kore de kesu no,, omizu jaa@o kakete . %mov:"20713"_328526_331456
    CHIterebi de ? %mov:"20713"_331456_333465
    FATterebi de yatteta desho . %mov:"20713"_333465_334694
  6. japanese_ishii/20713.cha, line 261 · Jun, 2;7.13
    CHIbooboodoosha no naa [<] +... %mov:"20713"_345190_347808
    FATun . %mov:"20713"_347808_348450
    FAT*FAT: ouchi ga moetara kesu no yo,, omizu kakete . %mov:"20713"_348450_352267
    CHIomizu ? %mov:"20713"_352267_353400
    FATun . %mov:"20713"_353400_353909
  7. japanese_ishii/20713.cha, line 266 · Jun, 2;7.13
    CHIkesu no . %mov:"20713"_353909_355071
    FATsoo [/] soo . %mov:"20713"_355071_355727
    FAT*FAT: jaa@o tte omizu kaken ne . %mov:"20713"_355727_357687
    FATnee ? %mov:"20713"_357687_360937
    CHImiteta sho [: desho] .
  8. japanese_ishii/20713.cha, line 274 · Jun, 2;7.13
    FATun, ouchi ga moeteta deshoo . %mov:"20713"_364750_366868
    CHImoeteta sho [: deshoo] . %mov:"20713"_366868_368303
    FAT*FAT: omizu kakete kesu no yo . %mov:"20713"_368303_371203
    CHIkesu no . %mov:"20713"_371203_371949
    FATun . %mov:"20713"_371949_372491

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_ishii4.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20713.chaJun 2;7.131,884894.78

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. omizu9 · 100.0%