PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

2.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (288 utterances, 1,457 words searched).

  1. non , on va rester là , on va venir ici , on vient jouer là . MAD · french/eveille_phil07.cha, line 259 · Philippe 2;03
  2. on vient te voir . MOT · french/eveille_phil07.cha, line 270 · Philippe 2;03
  3. on vient là , on vient là . MAD · french/eveille_phil07.cha, line 274 · Philippe 2;03
  4. on vient là , on vient là . MAD · french/eveille_phil07.cha, line 274 · Philippe 2;03
  1. french/eveille_phil07.cha, line 259 · Philippe, 2;3.
    MOTxxx .
    CHIfaut enlever le toboggan .
    MAD*MAD: non , on va rester là , on va venir ici , on vient jouer là .
    CHIenlever le toboggan , maman .
    MOTnon , mais non , mais non .
  2. french/eveille_phil07.cha, line 270 · Philippe, 2;3.
    MOTnon , mais non , mais non .
    CHIenlever le toboggan , maman .
    MOT*MOT: on vient te voir .
    CHIenlever le toboggan , maman .
    MADon vient là , on vient là .
  3. french/eveille_phil07.cha, line 274 · Philippe, 2;3.
    MOTon vient te voir .
    CHIenlever le toboggan , maman .
    MAD*MAD: on vient là , on vient là .
    MADxxx .
    MOTtiens xxx .

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. Philippe french2.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/eveille_phil07.chaPhilippe 2;3.1,457342.75

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. vient4 · 100.0%