PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

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

  1. non [/] non si tu les manges j(e) [/] [///] j(e) t(e) laisse pas jouer avec . 917885_921702 MOT · french/lyon_nat14a.cha, line 301 · Nathan 1;07
  2. viens on va jouer là-bas . 1408697_1409512 MOT · french/lyon_nat14a.cha, line 411 · Nathan 1;07
  1. french/lyon_nat14a.cha, line 301 · Nathan, 1;7.8
    CHIyyy . 886487_896333
    MOTnon [/] non [/] non [/] non Nanou . 896333_917885
    MOT*MOT: non [/] non si tu les manges j(e) [/] [///] j(e) t(e) laisse pas jouer avec . 917885_921702
    MOTregarde on va faire (.) un paon . 921702_925947
    MOTwww [= ! chante] . 925947_945458
  2. french/lyon_nat14a.cha, line 411 · Nathan, 1;7.8
    MOTtu viens avec moi . 1405707_1406355
    CHIyyy m(a)man . 1406355_1408697
    MOT*MOT: viens on va jouer là-bas . 1408697_1409512
    CHIyyy . 1409512_1410963
    MOTnon mets pas les www [= ! li] autres . 1410963_1412875

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 french5.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat14a.chaNathan 1;7.8392225.10

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. jouer2 · 100.0%