PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

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

  1. hai, kirinshan [: kirinsan] mo nennee . %mov:"10220"_92887_94800 FAT · japanese_ishii/10220.cha, line 60 · Jun 1;02
  2. are (o) totte, hai . %mov:"10220"_126000_126587 FAT · japanese_ishii/10220.cha, line 74 · Jun 1;02
  3. hai, sore (o) koko (ni) oite . %mov:"10220"_128186_130597 FAT · japanese_ishii/10220.cha, line 77 · Jun 1;02
  4. hai ! %mov:"10220"_182864_184263 FAT · japanese_ishii/10220.cha, line 107 · Jun 1;02
  5. hai . %mov:"10220"_189706_190341 FAT · japanese_ishii/10220.cha, line 111 · Jun 1;02
  6. hai, joozu ni hairimashitaa . %mov:"10220"_192669_192669 FAT · japanese_ishii/10220.cha, line 114 · Jun 1;02
  7. hai . %mov:"10220"_305013_307396 FAT · japanese_ishii/10220.cha, line 176 · Jun 1;02
  8. hai, Jun (ga) kii shite . %mov:"10220"_390120_392135 FAT · japanese_ishii/10220.cha, line 218 · Jun 1;02
  9. hai, misete goran . %mov:"10220"_448412_449274 FAT · japanese_ishii/10220.cha, line 246 · Jun 1;02
  1. japanese_ishii/10220.cha, line 60 · Jun, 1;02.02
    FATkirinshan [: kirinshan] wa nennee tte . %mov:"10220"_89640_91843
    CHIn ? %mov:"10220"_91843_92887
    FAT*FAT: hai, kirinshan [: kirinsan] mo nennee . %mov:"10220"_92887_94800
    FATwanwan@o to nennee . %mov:"10220"_94800_96155
    CHIiyaa . %mov:"10220"_96155_103121
  2. japanese_ishii/10220.cha, line 74 · Jun, 1;02.02
    FATyoshi . %mov:"10220"_123016_124563
    FATa, mohitotsu asoko (ni) aru . %mov:"10220"_124563_126000
    FAT*FAT: are (o) totte, hai . %mov:"10220"_126000_126587
    FATJunkun, are totte . %mov:"10220"_126587_128186
    FAThai, sore (o) koko (ni) oite . %mov:"10220"_128186_130597
  3. japanese_ishii/10220.cha, line 77 · Jun, 1;02.02
    FATare (o) totte, hai . %mov:"10220"_126000_126587
    FATJunkun, are totte . %mov:"10220"_126587_128186
    FAT*FAT: hai, sore (o) koko (ni) oite . %mov:"10220"_128186_130597
    FATyooshiyoshi . %mov:"10220"_130597_132640
    FATjoozujoozu . %mov:"10220"_132640_132640
  4. japanese_ishii/10220.cha, line 107 · Jun, 1;02.02
    FATxxx naka (ni) ireyoo .
    FATxxx . %mov:"10220"_182069_182864
    FAT*FAT: hai ! %mov:"10220"_182864_184263
    FATxxx hantai ya [: da] . %mov:"10220"_184263_186496
    FATsoosoosoosoo . %mov:"10220"_186496_188216
  5. japanese_ishii/10220.cha, line 111 · Jun, 1;02.02
    FATsoosoosoosoo . %mov:"10220"_186496_188216
    FATxxx . %mov:"10220"_188216_189706
    FAT*FAT: hai . %mov:"10220"_189706_190341
    FATmohitotsu are mo irete kudasai . %mov:"10220"_190341_191505
    FATkiiro no irete kudasai . %mov:"10220"_191505_192669
  6. japanese_ishii/10220.cha, line 114 · Jun, 1;02.02
    FATmohitotsu are mo irete kudasai . %mov:"10220"_190341_191505
    FATkiiro no irete kudasai . %mov:"10220"_191505_192669
    FAT*FAT: hai, joozu ni hairimashitaa . %mov:"10220"_192669_192669
    FATare ? %mov:"10220"_196447_197126
    FATare ? %mov:"10220"_197126_200323
  7. japanese_ishii/10220.cha, line 176 · Jun, 1;02.02
    FATare (da) ! %mov:"10220"_301784_303104
    FATare (o) totte . %mov:"10220"_303104_305013
    FAT*FAT: hai . %mov:"10220"_305013_307396
    FATaatoo [: arigatou] . %mov:"10220"_307396_308085
    CHIaa ? %mov:"10220"_308085_308085
  8. japanese_ishii/10220.cha, line 218 · Jun, 1;02.02
    FATkii ! %mov:"10220"_386574_387631
    FATkii ! %mov:"10220"_387631_390120
    FAT*FAT: hai, Jun (ga) kii shite . %mov:"10220"_390120_392135
    FATkii ! %mov:"10220"_392135_394565
    CHIxxx . %mov:"10220"_394565_399000
  9. japanese_ishii/10220.cha, line 246 · Jun, 1;02.02
    FATsore (wa) aa aa shitenai yo . %mov:"10220"_444045_445435
    FATsore (wa) daijoobu . %mov:"10220"_445435_448412
    FAT*FAT: hai, misete goran . %mov:"10220"_448412_449274
    FATmishite [: misete] xxx . %mov:"10220"_449274_450785
    FATaa aa shita ? %mov:"10220"_450785_452781

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_ishii24.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10220.chaJun 1;02.023699924.39

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. hai9 · 100.0%