PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (207 utterances, 805 words searched).

  1. kogda on upal v vodu , vedjorko upalo emu na golovu , in on ne pojmal ljagushku . EVA · russian/Tanja020709.cha, line 185 · Tanja 2;07
  2. nu sobaka emu pomozhet , da ? EVA · russian/Tanja020709.cha, line 277 · Tanja 2;07
  1. CHIna golove shapka , u nego shapka .
    EVAkak shapka , nu eto vedjorko zdes'.
    EVA*EVA: kogda on upal v vodu , vedjorko upalo emu na golovu , in on ne pojmal ljagushku .
    CHIpojmal ljagushku .
    EVAa eto ljagushka ?
  2. EVAa kak bejbi tuda popal ?
    EVAupal on vodu ?
    EVA*EVA: nu sobaka emu pomozhet , da ?
    EVAa zdes' gde bejbi na etoj stranice , v vode ?
    CHIne v vode .

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. Tanja russian2.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
russian/Tanja020709.chaTanja 2;07.09805222.48

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. emu2 · 100.0%