PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (222 utterances, 843 words searched).

  1. petit Nanou on va lui mettre ses feutres . MOT · french/lyon_nat22b.cha, line 21 · Nathan 2;05
  2. on va le manger ? 48767_50075 MOT · french/lyon_nat22b.cha, line 46 · Nathan 2;05
  3. Jea i(l) va faire caca . 1354563_1375963 MOT · french/lyon_nat22b.cha, line 890 · Nathan 2;05
  1. french/lyon_nat22b.cha, line 21 · Nathan, 2;5.18
    MOTqu'est-ce que tu veux None ? 0_7460
    MOTalors petit None .
    MOT*MOT: petit Nanou on va lui mettre ses feutres .
    MOTj'entends un nez qui m'a l'air bien pris là . 7460_44285
    CHI‹yyy [= ! babillage]› .
  2. french/lyon_nat22b.cha, line 46 · Nathan, 2;5.18
    CHIyyy . 44285_46690
    MOToui c'est à Nat ça . 46690_48767
    MOT*MOT: on va le manger ? 48767_50075
    MOTon l'ouvre ? 50075_65813
    MOToh c'est quoi ?
  3. french/lyon_nat22b.cha, line 890 · Nathan, 2;5.18
    MOTregar(d)e . 1350397_1353017
    CHIyyy . 1353017_1354563
    MOT*MOT: Jea i(l) va faire caca . 1354563_1375963
    CHIyyy .
    CHIyyy . 1375963_1378267

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 french3.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat22b.chaNathan 2;5.18843333.56

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. va3 · 100.0%