PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (206 utterances, 468 words searched).

  1. wanwan@o [<] nennee shiteta nee . %mov:"10000"_108519_110174 FAT · japanese_ishii/10000.cha, line 66 · Jun 1;00
  2. chutchu@o (ga) ita nee . %mov:"10000"_757000_758120 FAT · japanese_ishii/10000.cha, line 299 · Jun 1;00
  1. japanese_ishii/10000.cha, line 66 · Jun, 1;0.01
    CHIu . %mov:"10000"_105109_106233
    CHIuu [>] . %mov:"10000"_106233_108519
    FAT*FAT: wanwan@o [<] nennee shiteta nee . %mov:"10000"_108519_110174
    FATun ? %mov:"10000"_110174_111915
    FATwanwan@o doko ni ita no ? %mov:"10000"_111915_114180
  2. japanese_ishii/10000.cha, line 299 · Jun, 1;0.01
    FATuun . %mov:"10000"_755815_756479
    CHIoa . %mov:"10000"_756479_757000
    FAT*FAT: chutchu@o (ga) ita nee . %mov:"10000"_757000_758120
    CHIongyuyatta . %mov:"10000"_758120_759548
    CHIojayoo ! %mov:"10000"_758120_759548

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_ishii4.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10000.chaJun 1;0.01468224.27

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. nee2 · 100.0%