PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (295 utterances, 749 words searched).

  1. kakkinkakkin@o ya . %mov:"20108"_566480_568749 FAT · japanese_ishii/20108.cha, line 372 · Jun 2;01
  2. kakkinkakkin@o ya . %mov:"20108"_569992_572103 FAT · japanese_ishii/20108.cha, line 374 · Jun 2;01
  1. japanese_ishii/20108.cha, line 372 · Jun, 2;1.08
    FATun, soo . %mov:"20108"_564235_564968
    FATtokee ya nee . %mov:"20108"_564968_566480
    FAT*FAT: kakkinkakkin@o ya . %mov:"20108"_566480_568749
    FATtakusan aru naa . %mov:"20108"_568749_569992
    FATkakkinkakkin@o ya . %mov:"20108"_569992_572103
  2. japanese_ishii/20108.cha, line 374 · Jun, 2;1.08
    FATkakkinkakkin@o ya . %mov:"20108"_566480_568749
    FATtakusan aru naa . %mov:"20108"_568749_569992
    FAT*FAT: kakkinkakkin@o ya . %mov:"20108"_569992_572103
    FATJun wa dono tokee ga ii ? %mov:"20108"_572103_574509
    CHIaa aa ! %mov:"20108"_574509_580563

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_ishii2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20108.chaJun 2;1.08749222.67

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. kakkinkakkin2 · 100.0%