PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

7.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (126 utterances, 392 words searched).

  1. il te faire rire ce papa ? 520575_521608 MOT · french/lyon_nat14a.cha, line 208 · Nathan 1;07
  2. regarde on va faire (.) un paon . 921702_925947 MOT · french/lyon_nat14a.cha, line 305 · Nathan 1;07
  3. on va le faire ensemble si tu veux . 1392570_1397337 MOT · french/lyon_nat14a.cha, line 390 · Nathan 1;07
  1. french/lyon_nat14a.cha, line 208 · Nathan, 1;7.8
    MOTregarde . 519123_520575
    CHIyyy .
    MOT*MOT: il te faire rire ce papa ? 520575_521608
    MOTwww [= ! rires] . 521608_524167
    CHIyyy . 524167_525867
  2. french/lyon_nat14a.cha, line 305 · Nathan, 1;7.8
    MOTnon [/] non [/] non [/] non Nanou . 896333_917885
    MOTnon [/] non si tu les manges j(e) [/] [///] j(e) t(e) laisse pas jouer avec . 917885_921702
    MOT*MOT: regarde on va faire (.) un paon . 921702_925947
    MOTwww [= ! chante] . 925947_945458
    MOTwww [= ! sifflements] . 945458_946545
  3. french/lyon_nat14a.cha, line 390 · Nathan, 1;7.8
    CHIyyy . 1386217_1391640
    MOTviens on l'emporte là-bas . 1391640_1392570
    MOT*MOT: on va le faire ensemble si tu veux . 1392570_1397337
    CHIyyy . 1397337_1398472
    MOTtu veux ? 1398472_1398837

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 french7.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat14a.chaNathan 1;7.8392337.65

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. faire3 · 100.0%