PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (355 utterances, 1,438 words searched).

  1. quand on quand il est bien coiffe . MOT · french/rondal_05d.cha, line 178 · Rondal_05D 2;06
  2. est ce qu' il est bien coiffe maint'nant fafa ? MOT · french/rondal_05d.cha, line 180 · Rondal_05D 2;06
  3. non on n' l'a pas coiffe . MOT · french/rondal_05d.cha, line 182 · Rondal_05D 2;06
  1. french/rondal_05d.cha, line 178 · Rondal_05D, 2;6.11
    CHIwi .
    MOToui aha .
    MOT*MOT: quand on quand il est bien coiffe .
    CHIwi: .
    MOTest ce qu' il est bien coiffe maint'nant fafa ?
  2. french/rondal_05d.cha, line 180 · Rondal_05D, 2;6.11
    MOTquand on quand il est bien coiffe .
    CHIwi: .
    MOT*MOT: est ce qu' il est bien coiffe maint'nant fafa ?
    CHInã.
    MOTnon on n' l'a pas coiffe .
  3. french/rondal_05d.cha, line 182 · Rondal_05D, 2;6.11
    MOTest ce qu' il est bien coiffe maint'nant fafa ?
    CHInã.
    MOT*MOT: non on n' l'a pas coiffe .
    MOTattention au chatchat .
    CHIa mamã a .

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. Rondal_05D french2.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/rondal_05d.chaRondal_05D 2;6.111,438332.09

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. coiffe3 · 100.0%