PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (310 utterances, 1,167 words searched).

  1. un set de table pour Amélie ? 561107_563550 MOT · french/lyon_tim14a.cha, line 216 · Tim 1;06
  2. tu dis chat toi pour vache . 659137_662898 MOT · french/lyon_tim14a.cha, line 347 · Tim 1;06
  3. <t(u) attends> [/] tu attends pour le mettre dans le [/] l'inverse . MOT · french/lyon_tim14a.cha, line 613 · Tim 1;06
  1. CHIoh . 543950_549250
    CHIrouge .
    MOT*MOT: un set de table pour Amélie ? 561107_563550
    CHIxxx . 563550_566388
    MOTrouge oui . 566388_567422
  2. CHIyyy .
    MOTvache .
    MOT*MOT: tu dis chat toi pour vache . 659137_662898
    MOThein ?
    MOT<une vache> [/] une vache . 662898_667425
  3. MOTCoco_Lapin ?
    MOTc'est quoi c(e)tte histoire ? 921952_927038
    MOT*MOT: <t(u) attends> [/] tu attends pour le mettre dans le [/] l'inverse .
    CHIyyy . 927038_938418
    MOTça va pas ? 938418_939423

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. Tim french2.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim14a.chaTim 1;6.231,167332.57

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. pour3 · 100.0%