PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

5.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (135 utterances, 553 words searched).

  1. a potom dym poluchal'sa , tak chto ne vidno bylo domika . MOT · russian/Tanja020729.cha, line 105 · Tanja 2;07
  2. prosto tak nado . EVA · russian/Tanja020729.cha, line 220 · Tanja 2;07
  3. ja tak progolodalsja . EVA · russian/Tanja020729.cha, line 242 · Tanja 2;07
  1. MOTdlja mal'chika kupili pistolet .
    CHIdlja mal'chika .
    MOT*MOT: a potom dym poluchal'sa , tak chto ne vidno bylo domika .
    CHIne vidno domika .
    EVAstol'ko dyma !
  2. EVAmalo , a davaj eshche chto+to tuda , mozhet byt' kapustu .
    CHIvot zdes' vsjo .
    EVA*EVA: prosto tak nado .
    EVAkartofel'nyj sup , da ?
    EVAbert , smotri , chto Tanja varit .
  3. EVAmolochko ?
    EVAda ?
    EVA*EVA: ja tak progolodalsja .
    EVAnet , Bert , nel'zja tebe pechen'je kushat' , tol'ko posle obeda .
    EVAskazhi Bertu , chto nel'zja pered obedom kushat' , Tan'.

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 russian5.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
russian/Tanja020729.chaTanja 2;07.29553335.42

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. tak3 · 100.0%