PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (188 utterances, 594 words searched).

  1. on va l(e) mettre là ce train d'accord ? MOT · french/lyon_nat10b.cha, line 205 · Nathan 1;05
  2. on va mettre du lait . MOT · french/lyon_nat10b.cha, line 476 · Nathan 1;05
  1. french/lyon_nat10b.cha, line 205 · Nathan, 1;5.8
    MOTvas_y ! 499365_500142
    CHIwww [= ! gémit] .
    MOT*MOT: on va l(e) mettre là ce train d'accord ?
    MOTà toi Nanou . 513590_519342
    JEAeh moi . 519342_522662
  2. french/lyon_nat10b.cha, line 476 · Nathan, 1;5.8
    MOTtu mets pas ton truc dedans .
    MOTtiens viens ! 871123_872985
    MOT*MOT: on va mettre du lait .
    CHI+< yyy .
    MOTon va mett(r)e du lait . 872985_874738

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 french3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat10b.chaNathan 1;5.8594223.37

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. mettre2 · 100.0%