PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. rybki vot tam . MOT · russian/Tanja020709.cha, line 274 · Tanja 2;07
  2. rybki plavajut , da . EVA · russian/Tanja020709.cha, line 284 · Tanja 2;07
  3. lovit rybki . MOT · russian/Tanja020709.cha, line 290 · Tanja 2;07
  4. sobaka tozhe lovit rybki . EVA · russian/Tanja020709.cha, line 291 · Tanja 2;07
  1. EVAv vode ?
    CHItam v vode , mama , rybki .
    MOT*MOT: rybki vot tam .
    EVAa kak bejbi tuda popal ?
    EVAupal on vodu ?
  2. EVAtam voda .
    CHIrybki plavajut .
    EVA*EVA: rybki plavajut , da .
    CHIbejbi .
    EVAgde ?
  3. EVAa sobaka chto delaet ?
    CHIsobaka lovit rybki , sobaka lovit rybki .
    MOT*MOT: lovit rybki .
    EVAsobaka tozhe lovit rybki .
    MOTa Tanja lovila rybku na ozere s papoj ?
  4. CHIsobaka lovit rybki , sobaka lovit rybki .
    MOTlovit rybki .
    EVA*EVA: sobaka tozhe lovit rybki .
    MOTa Tanja lovila rybku na ozere s papoj ?
    CHIda xxx .

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 russian4.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
russian/Tanja020709.chaTanja 2;07.09805444.97

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. rybki4 · 100.0%