PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

8.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 578 words searched).

  1. wanwan@o (to) chigau . %mov:"10804"_70273_70273 FAT · japanese_ishii/10804.cha, line 68 · Jun 1;08
  2. wanwan@o ya . %mov:"10804"_277888_279662 FAT · japanese_ishii/10804.cha, line 234 · Jun 1;08
  3. soo, wanwan@o ya . %mov:"10804"_589500_592328 FAT · japanese_ishii/10804.cha, line 391 · Jun 1;08
  4. wanwan@o takushan [: takusan] iru wa . %mov:"10804"_691280_692785 FAT · japanese_ishii/10804.cha, line 471 · Jun 1;08
  5. wanwan@o, aa, buu@o (ni) notten [: notteiru] nee . %mov:"10804"_694954_6972… FAT · japanese_ishii/10804.cha, line 473 · Jun 1;08
  1. FATun, ommasan [: umna] ya naa . %mov:"10804"_66804_67824
    CHIwanwanka ? %mov:"10804"_67824_70273
    FAT*FAT: wanwan@o (to) chigau . %mov:"10804"_70273_70273
    CHIba [>] . %mov:"10804"_70931_71555
    FATchu [<] . %mov:"10804"_70931_71555
  2. CHIuwauwaka ? %mov:"10804"_274794_277170
    CHIwanwan . %mov:"10804"_277170_277888
    FAT*FAT: wanwan@o ya . %mov:"10804"_277888_279662
    FATxxx mitai na [>] . %mov:"10804"_279662_281454
    CHIbubuu [<] . %mov:"10804"_279662_281454
  3. FATuun ? %mov:"10804"_588525_589500
    CHIwanwanka ? %mov:"10804"_589500_591111
    FAT*FAT: soo, wanwan@o ya . %mov:"10804"_589500_592328
    CHIgaa . %mov:"10804"_592328_595008
    FATnyannyan ya . %mov:"10804"_595008_595713
  4. FATkotchi ya . %mov:"10804"_689901_690431
    FATwa ! %mov:"10804"_690431_691280
    FAT*FAT: wanwan@o takushan [: takusan] iru wa . %mov:"10804"_691280_692785
    CHIbuuga . %mov:"10804"_692785_692785
    FATwanwan@o, aa, buu@o (ni) notten [: notteiru] nee . %mov:"10804"_694954_697290
  5. FATwanwan@o takushan [: takusan] iru wa . %mov:"10804"_691280_692785
    CHIbuuga . %mov:"10804"_692785_692785
    FAT*FAT: wanwan@o, aa, buu@o (ni) notten [: notteiru] nee . %mov:"10804"_694954_697290
    CHIbuuka . %mov:"10804"_697290_698553
    FATa ! %mov:"10804"_698553_699120

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_ishii8.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10804.chaJun 1;8.04578558.65

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. wanwan5 · 100.0%