PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 909 words searched).

  1. <au secours:> [= ! lu] . 117917_122597 MOT · french/lyon_nat06a.cha, line 161 · Nathan 1;02
  2. comme au moulin . 212112_214105 MOT · french/lyon_nat06a.cha, line 268 · Nathan 1;02
  3. tu veux qu'on joue au ballon ? 1166813_1168248 MOT · french/lyon_nat06a.cha, line 783 · Nathan 1;02
  1. MOTregarde ça ! 115300_117917
    CHIwww [= ! pleurniche] .
    MOT*MOT: <au secours:> [= ! lu] . 117917_122597
    CHIwww [= ! pleurniche] .
    MOTdis [= ! lu] ! 122597_124590
  2. MOTcoua@o coua@o [= ! imite la grenouille] . 207758_210822
    MOTfait [?] comme ça . 210822_212112
    MOT*MOT: comme au moulin . 212112_214105
    MOTy en a des grenouilles .
    MOTdes fois on les www [= ! li] entend . 214105_219555
  3. MOTattends !
    MOTtu veux xxx xxx .
    MOT*MOT: tu veux qu'on joue au ballon ? 1166813_1168248
    CHIwww [= ! pleure] .
    CHIyyy . 1168248_1172847

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. Nathan french3.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat06a.chaNathan 1;2.26909333.30

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. au3 · 100.0%