PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

6.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (167 utterances, 618 words searched).

  1. zima ne vypala , sneg ne vypal . FAT · russian/Tanja021028.cha, line 77 · Tanja 2;10
  2. zima ne vypala , sneg ne vypal . FAT · russian/Tanja021028.cha, line 77 · Tanja 2;10
  3. ne papadali eshche listiki ? EVA · russian/Tanja021028.cha, line 80 · Tanja 2;10
  4. ne znajesh , a zdes' chto ? EVA · russian/Tanja021028.cha, line 109 · Tanja 2;10
  1. russian/Tanja021028.cha, line 77 · Tanja, 2;10.28
    CHIne vypala zima .
    CHIne vypala zima .
    FAT*FAT: zima ne vypala , sneg ne vypal .
    EVAda .
    CHIne popadali listiki .
  2. russian/Tanja021028.cha, line 80 · Tanja, 2;10.28
    EVAda .
    CHIne popadali listiki .
    EVA*EVA: ne papadali eshche listiki ?
    EVAxochesh posmotret' knizhki ?
    EVAznaesh otkuda eti knizhki ?
  3. russian/Tanja021028.cha, line 109 · Tanja, 2;10.28
    CHIxxx i mama .
    EVAdavaj posmotri , Tanja .
    EVA*EVA: ne znajesh , a zdes' chto ?
    CHIdozhdik , dozhdik idet .
    EVAchto ?

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 russian6.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
russian/Tanja021028.chaTanja 2;10.28618346.47

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. ne4 · 100.0%