PHPCLANCHILDES with regular expressions

5 matches in 3 utterances

15.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (79 utterances, 315 words searched).

  1. un bobo ? MOT · french/unkeler_cam09.cha, line 90 · Camille 1;07
  2. un bobo , un bobo , un p(e)tit bobo . MOT · french/unkeler_cam09.cha, line 95 · Camille 1;07
  3. un bobo , un bobo , un p(e)tit bobo . MOT · french/unkeler_cam09.cha, line 95 · Camille 1;07
  4. un bobo , un bobo , un p(e)tit bobo . MOT · french/unkeler_cam09.cha, line 95 · Camille 1;07
  5. oh un bobo en tombant ! MOT · french/unkeler_cam09.cha, line 105 · Camille 1;07
  1. CHIwww .
    MOTp(u)is là c'est quoi Camille ?
    MOT*MOT: un bobo ?
    CHIwww .
    MOTun bobo , un bobo , un p(e)tit bobo .
  2. MOTun bobo ?
    CHIwww .
    MOT*MOT: un bobo , un bobo , un p(e)tit bobo .
    CHIwww .
    MOTt(u) es tombé ?
  3. MOTt(u) es tombé ?
    CHIwww .
    MOT*MOT: oh un bobo en tombant !
    MOTohlàlà !
    MOTtu dis un bisou à maman , tu dis un p(e)tit bisou à sa maman !

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. Camille french15.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/unkeler_cam09.chaCamille 1;7.233153515.87

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. bobo5 · 100.0%