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 le lire ce livre . 719423_721272 MOT · french/lyon_nat10b.cha, line 354 · Nathan 1;05
  1. 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. MOTallez , viens Nanou ! 717840_719423
    CHIwww [= ! pleure] .
    MOT*MOT: on va le lire ce livre . 719423_721272
    CHIwww [= ! pleure] . 721272_723633
    MOToh là .

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. ce2 · 100.0%