PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

23.08 per 1,000 words of the child (CHI), in 1 of 1 transcripts (159 utterances, 130 words searched).

  1. ‹veux pas› . CHI · french/lyon_nat25a.cha, line 50 · Nathan 2;10
  2. veux pas . 652033_654237 CHI · french/lyon_nat25a.cha, line 649 · Nathan 2;10
  3. veux pas . 654237_695267 CHI · french/lyon_nat25a.cha, line 655 · Nathan 2;10
  1. french/lyon_nat25a.cha, line 50 · Nathan, 2;10.23
    CHInon .
    MOTsi_il_te_plaît . 15185_17278
    CHI*CHI: ‹veux pas› .
    MOTalors je le laisse là d'accord ? 17278_25055
    MOTtout ça ? 25055_26728
  2. french/lyon_nat25a.cha, line 649 · Nathan, 2;10.23
    CHInon ! 646095_652033
    MOTnous on va aller habiter +//.
    CHI*CHI: veux pas . 652033_654237
    MOTpar-là .
    CHIveux pas . 654237_695267
  3. french/lyon_nat25a.cha, line 655 · Nathan, 2;10.23
    CHIveux pas . 652033_654237
    MOTpar-là .
    CHI*CHI: veux pas . 654237_695267
    CHIeh ! 695267_696758
    CHI‹eh [/] (..)› eh ! 696758_718107

Matches by age

One dot per transcript: matches per 1,000 words of the child (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 french23.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat25a.chaNathan 2;10.231303323.08

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. veux3 · 100.0%