PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (376 utterances, 1,352 words searched).

  1. tu veux le lire ? 528718_530866 MOT · french/lyon_ana13a.cha, line 245 · Anais 1;06
  2. on va lire l'Ursule . 667353_670343 MOT · french/lyon_ana13a.cha, line 439 · Anais 1;06
  3. tu veux encore lire ? 940715_942550 MOT · french/lyon_ana13a.cha, line 837 · Anais 1;06
  1. MOTcomme ça ? 517676_518711
    CHIyyy .
    MOT*MOT: tu veux le lire ? 528718_530866
    MOToui ? 530865_532313
    MOTattends .
  2. MOTla libellule ? 665078_666570
    MOTviens . 666570_667353
    MOT*MOT: on va lire l'Ursule . 667353_670343
    CHI‹yyy [= ! pousse des petits cris]› . 667353_671518
    MOTnon qu'est c(e) que tu veux ? 670340_672313
  3. MOTfini ! 936105_939118
    CHIyyy . 939118_940715
    MOT*MOT: tu veux encore lire ? 940715_942550
    CHIwww [= ! acquiesce] .
    MOTou tu veux jouer avec la ferme ? 942550_943950

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. Anais french2.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana13a.chaAnais 1;6.211,352332.22

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. lire3 · 100.0%