PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (258 utterances, 851 words searched).

  1. tu sais ? MOT · french/lyon_nat24b.cha, line 1042 · Nathan 2;00
  2. Nanou est-c(e) que tu sais où j'ai mis l(e) couvercle ? 1582975_1598055 MOT · french/lyon_nat24b.cha, line 1047 · Nathan 2;00
  3. tu sais ou pas ? 1604525_1605662 MOT · french/lyon_nat24b.cha, line 1065 · Nathan 2;00
  1. CHI‹non [= ! murmuré]› . 1577190_1577798
    MOToù est-c(e) que j'ai mis l(e) bouchon ? 1577798_1582975
    MOT*MOT: tu sais ?
    MOTle couvercle .
    MOTNanou est-c(e) que tu sais où j'ai mis l(e) couvercle ? 1582975_1598055
  2. MOTtu sais ?
    MOTle couvercle .
    MOT*MOT: Nanou est-c(e) que tu sais où j'ai mis l(e) couvercle ? 1582975_1598055
    MOThein ? 1598055_1600760
    MOTNat .
  3. MOToù est-c(e) que maman a mis l(e) couvercle de ça ?
    JEAwww [= ! petits bruits] .
    MOT*MOT: tu sais ou pas ? 1604525_1605662
    MOTparterre ? 1605662_1608513
    MOTah non . 1608513_1611287

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 french3.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat24b.chaNathan 2;0.16851333.53

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. sais3 · 100.0%