PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (356 utterances, 900 words searched).

  1. Jun ga # bii@o shita n . %mov:"20023"_89814_91371 FAT · japanese_ishii/20023.cha, line 68 · Jun 2;00
  2. damedame,, sonna bii@o shitara . %mov:"20023"_119847_121405 FAT · japanese_ishii/20023.cha, line 92 · Jun 2;00
  1. japanese_ishii/20023.cha, line 68 · Jun, 2;0.23
    CHIJun ya . %mov:"20023"_87159_88107
    CHIJun . %mov:"20023"_88107_89814
    FAT*FAT: Jun ga # bii@o shita n . %mov:"20023"_89814_91371
    CHIkoko xxx eechan . %mov:"20023"_91371_93136
    FATNeechan ga,, sore . %mov:"20023"_93136_94551
  2. japanese_ishii/20023.cha, line 92 · Jun, 2;0.23
    CHIii ? %mov:"20023"_117217_118113
    CHIii ? %mov:"20023"_118113_119847
    FAT*FAT: damedame,, sonna bii@o shitara . %mov:"20023"_119847_121405
    CHIkoko ya [>] . %mov:"20023"_121405_123199
    FATyabuttara dame [<] . %mov:"20023"_121405_123199

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_ishii2.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20023.chaJun 2;0.23900222.22

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. bii2 · 100.0%