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. jaa@o shiten no ? %mov:"20108"_289375_290305 FAT · japanese_ishii/20108.cha, line 200 · Jun 2;01
  2. jaa@o shiten no # omizu de ? %mov:"20108"_291174_293618 FAT · japanese_ishii/20108.cha, line 202 · Jun 2;01
  1. japanese_ishii/20108.cha, line 200 · Jun, 2;1.08
    FATa, kore nani shiten no ? %mov:"20108"_285935_287322
    CHIjaaja . %mov:"20108"_287322_289375
    FAT*FAT: jaa@o shiten no ? %mov:"20108"_289375_290305
    CHIn ? %mov:"20108"_290305_291174
    FATjaa@o shiten no # omizu de ? %mov:"20108"_291174_293618
  2. japanese_ishii/20108.cha, line 202 · Jun, 2;1.08
    FATjaa@o shiten no ? %mov:"20108"_289375_290305
    CHIn ? %mov:"20108"_290305_291174
    FAT*FAT: jaa@o shiten no # omizu de ? %mov:"20108"_291174_293618
    FAThora, koko mo omizu aru nee . %mov:"20108"_293618_295107
    FATJun mo suru ? %mov:"20108"_295107_295107

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. jaa2 · 100.0%