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. net , oni xobotom , nosikom vodichku na sebja polivali , da ? MOT · russian/Tanja020729.cha, line 44 · Tanja 2;07
  2. net , Bert , nel'zja tebe pechen'je kushat' , tol'ko posle obeda . EVA · russian/Tanja020729.cha, line 243 · Tanja 2;07
  3. mozhno kushat' sejchas pechen'je ili net ? EVA · russian/Tanja020729.cha, line 245 · Tanja 2;07
  1. MOTzebry byli , da ?
    CHIsloniki , vot tam plavali .
    MOT*MOT: net , oni xobotom , nosikom vodichku na sebja polivali , da ?
    MOTplaval kto ?
    MOTgipopo plavali , bol'shije+bol'shije ?
  2. EVAda ?
    EVAja tak progolodalsja .
    EVA*EVA: net , Bert , nel'zja tebe pechen'je kushat' , tol'ko posle obeda .
    EVAskazhi Bertu , chto nel'zja pered obedom kushat' , Tan'.
    EVAmozhno kushat' sejchas pechen'je ili net ?
  3. EVAnet , Bert , nel'zja tebe pechen'je kushat' , tol'ko posle obeda .
    EVAskazhi Bertu , chto nel'zja pered obedom kushat' , Tan'.
    EVA*EVA: mozhno kushat' sejchas pechen'je ili net ?
    CHInet .
    EVA[^ to Bert] nel'zja , Bert , potomu chto snachala sup nuzhno budet est'.

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. net3 · 100.0%