PHPCLANCHILDES with regular expressions

11 matches in 10 utterances

29.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (159 utterances, 369 words searched).

  1. a, tatchitatchii shita . %mov:"10220"_87908_89640 FAT · japanese_ishii/10220.cha, line 55 · Jun 1;02
  2. a, mohitotsu asoko (ni) aru . %mov:"10220"_124563_126000 FAT · japanese_ishii/10220.cha, line 73 · Jun 1;02
  3. a ? %mov:"10220"_142114_144149 FAT · japanese_ishii/10220.cha, line 87 · Jun 1;02
  4. a ? %mov:"10220"_144149_146437 FAT · japanese_ishii/10220.cha, line 88 · Jun 1;02
  5. a, xxx . %mov:"10220"_165712_167492 FAT · japanese_ishii/10220.cha, line 99 · Jun 1;02
  6. a ? %mov:"10220"_207900_208503 FAT · japanese_ishii/10220.cha, line 119 · Jun 1;02
  7. a, buubuu (ga) haitteru . %mov:"10220"_258900_264468 FAT · japanese_ishii/10220.cha, line 146 · Jun 1;02
  8. a a . %mov:"10220"_287949_287949 FAT · japanese_ishii/10220.cha, line 160 · Jun 1;02
  9. a a . %mov:"10220"_287949_287949 FAT · japanese_ishii/10220.cha, line 160 · Jun 1;02
  10. a, honto, buubuu@o . %mov:"10220"_502390_504065 FAT · japanese_ishii/10220.cha, line 284 · Jun 1;02
  11. a xxx . %mov:"10220"_535013_541162 FAT · japanese_ishii/10220.cha, line 303 · Jun 1;02
  1. japanese_ishii/10220.cha, line 55 · Jun, 1;02.02
    FATnennee . %mov:"10220"_86436_87169
    FATkirinshan wa +... %mov:"10220"_87169_87908
    FAT*FAT: a, tatchitatchii shita . %mov:"10220"_87908_89640
    FATkirinshan [: kirinshan] wa nennee tte . %mov:"10220"_89640_91843
    CHIn ? %mov:"10220"_91843_92887
  2. japanese_ishii/10220.cha, line 73 · Jun, 1;02.02
    FATyoshi . %mov:"10220"_121600_123016
    FATyoshi . %mov:"10220"_123016_124563
    FAT*FAT: a, mohitotsu asoko (ni) aru . %mov:"10220"_124563_126000
    FATare (o) totte, hai . %mov:"10220"_126000_126587
    FATJunkun, are totte . %mov:"10220"_126587_128186
  3. japanese_ishii/10220.cha, line 87 · Jun, 1;02.02
    FAToo o . %mov:"10220"_139232_141549
    FATare ? %mov:"10220"_141549_142114
    FAT*FAT: a ? %mov:"10220"_142114_144149
    FATa ? %mov:"10220"_144149_146437
    CHIxxx . %mov:"10220"_146437_148391
  4. japanese_ishii/10220.cha, line 88 · Jun, 1;02.02
    FATare ? %mov:"10220"_141549_142114
    FATa ? %mov:"10220"_142114_144149
    FAT*FAT: a ? %mov:"10220"_144149_146437
    CHIxxx . %mov:"10220"_146437_148391
    FATun ? %mov:"10220"_148391_149087
  5. japanese_ishii/10220.cha, line 99 · Jun, 1;02.02
    CHIchichachachaku . %mov:"10220"_161357_164108
    FATun takatakaai . %mov:"10220"_164108_165712
    FAT*FAT: a, xxx . %mov:"10220"_165712_167492
    FAThoraa .
    FATiiyoshi ! %mov:"10220"_168159_170000
  6. japanese_ishii/10220.cha, line 119 · Jun, 1;02.02
    FATare ? %mov:"10220"_197126_200323
    CHIxxx # a ? %mov:"10220"_200323_207900
    FAT*FAT: a ? %mov:"10220"_207900_208503
    CHItyannya ? %mov:"10220"_208503_210875
    FATn ? %mov:"10220"_210875_211434
  7. japanese_ishii/10220.cha, line 146 · Jun, 1;02.02
    CHIiihenya ? %mov:"10220"_256024_257822
    FATxxx ? %mov:"10220"_257822_258900
    FAT*FAT: a, buubuu (ga) haitteru . %mov:"10220"_258900_264468
    FAThora bubuu@o ya . %mov:"10220"_264468_270389
    CHIau ! %mov:"10220"_273391_274332
  8. japanese_ishii/10220.cha, line 160 · Jun, 1;02.02
    FATkore ya [: da],, aa aa wa, hora . %mov:"10220"_279526_282394
    CHIaa ? %mov:"10220"_282394_287949
    FAT*FAT: a a . %mov:"10220"_287949_287949
    CHIaa ? %mov:"10220"_288699_289224
    CHIaa ? %mov:"10220"_289224_290313
  9. japanese_ishii/10220.cha, line 284 · Jun, 1;02.02
    CHIaau ? %mov:"10220"_497444_500794
    FATbuubuu@o,, sore (wa) . %mov:"10220"_500794_502390
    FAT*FAT: a, honto, buubuu@o . %mov:"10220"_502390_504065
    CHIun ? %mov:"10220"_504065_507253
    FATu, sotchi mo aru ka ?%mov:"10220"_507253_508478
  10. japanese_ishii/10220.cha, line 303 · Jun, 1;02.02
    FATkatai . %mov:"10220"_531174_531677
    FATkattaa . %mov:"10220"_531677_535013
    FAT*FAT: a xxx . %mov:"10220"_535013_541162
    CHIbuobu .
    FATJunkun, ohayo . %mov:"10220"_545096_553205

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_ishii29.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10220.chaJun 1;02.02369101129.81

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. a11 · 100.0%