PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (328 utterances, 1,202 words searched).

  1. tu vas avoir froid . MOT · french/rondal_09b.cha, line 454 · Rondal_09B 2;09
  2. tu vas avoir froid . OTH · french/rondal_09b.cha, line 522 · Rondal_09B 2;09
  3. tu vas avoir froid hein la . OTH · french/rondal_09b.cha, line 541 · Rondal_09B 2;09
  1. french/rondal_09b.cha, line 454 · Rondal_09B, 2;9.08
    MOTouilleyouille .
    CHIxxx ve dadɛ.
    MOT*MOT: tu vas avoir froid .
    MOTfais attention .
    MOTy a plus rien .
  2. french/rondal_09b.cha, line 522 · Rondal_09B, 2;9.08
    CHIbabay .
    MOTxxx ferme la porte .
    OTH*OTH: tu vas avoir froid .
    OTHallez .
    OTHviens ici .
  3. french/rondal_09b.cha, line 541 · Rondal_09B, 2;9.08
    OTH<ferme la porte> [!] .
    CHIɛ̃?
    OTH*OTH: tu vas avoir froid hein la .
    CHIpatik .
    OTHoh laisse patrick tranquille .

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_09B french2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/rondal_09b.chaRondal_09B 2;9.081,202332.50

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. avoir3 · 100.0%