PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (282 utterances, 616 words searched).

  1. woo, yappon [: baseball] suru no . %mov:"10029"_286800_288140 FAT · japanese_ishii/10029.cha, line 156 · Jun 1;00
  2. hai, yappon@o [= ball] wa ? %mov:"10029"_607000_608539 FAT · japanese_ishii/10029.cha, line 297 · Jun 1;00
  1. FATmada takaitakai (ga) dekiru yo . %mov:"10029"_282836_284261
    CHIoyoo . %mov:"10029"_284261_286800
    FAT*FAT: woo, yappon [: baseball] suru no . %mov:"10029"_286800_288140
    FAThoi ! %mov:"10029"_288140_288754
    FATaa aa ! %mov:"10029"_288754_290590
  2. FAThai, bubuu@o wa ? %mov:"10029"_597479_599194
    MOTyyy . %mov:"10029"_599194_607000
    FAT*FAT: hai, yappon@o [= ball] wa ? %mov:"10029"_607000_608539
    FATyoisho ! %mov:"10029"_608539_610061
    FAThai, iku zo . %mov:"10029"_610061_613362

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_ishii3.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10029.chaJun 1;0.29616223.25

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. yappon2 · 100.0%