PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.16 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (311 utterances, 1,267 words searched).

  1. on va aller te changer (.) hein ? FAT · french/geneva_4.cha, line 442 · Marie 1;09
  2. on va aller changer la couche . FAT · french/geneva_4.cha, line 449 · Marie 1;09
  3. mais <on va aller> [/] on va aller changer la couche . FAT · french/geneva_4.cha, line 467 · Marie 1;09
  4. on va aller changer la couche . FAT · french/geneva_4.cha, line 484 · Marie 1;09
  1. CHIfait caca .
    FAToui (.) il me semble bien que t(u) as fait caca .
    FAT*FAT: on va aller te changer (.) hein ?
    CHInon .
    FATsi (.) si .
  2. CHInon .
    FATsi (.) si .
    FAT*FAT: on va aller changer la couche .
    CHIxxx .
    CHIɘ@u coucher .
  3. FATnon chérie (.) pas tout de suite .
    FATon pourra quand tu vas jouer tout à l'heure .
    FAT*FAT: mais <on va aller> [/] on va aller changer la couche .
    FATça doit pas être très agréable .
    CHIxxx ça .
  4. FATtout à l'heure .
    FATviens !
    FAT*FAT: on va aller changer la couche .
    CHIça .
    CHIpataco@wp [/] pataco@wp .

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. Marie french3.16
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/geneva_4.chaMarie 1;9.161,267443.16

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. changer4 · 100.0%