PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (258 utterances, 851 words searched).

  1. très bien Nanou . 715757_717053 MOT · french/lyon_nat24b.cha, line 719 · Nathan 2;00
  2. mais c'est très bien . 718335_722357 MOT · french/lyon_nat24b.cha, line 723 · Nathan 2;00
  3. très bien . 736613_739192 MOT · french/lyon_nat24b.cha, line 747 · Nathan 2;00
  1. MOTvas_y ! 710115_715757
    MOTbien .
    MOT*MOT: très bien Nanou . 715757_717053
    MOTl'aut(re) maint(e)nant . 717053_718335
    MOTmais c'est très bien . 718335_722357
  2. MOTtrès bien Nanou . 715757_717053
    MOTl'aut(re) maint(e)nant . 717053_718335
    MOT*MOT: mais c'est très bien . 718335_722357
    MOTet la bouche ? 722357_723737
    MOTla bouche . 723737_727255
  3. MOTtu colories sa bouche en vert aussi ? 730728_733502
    MOTmais c'est bien mon pépère . 733502_736613
    MOT*MOT: très bien . 736613_739192
    MOTbravo . 739192_780044
    CHInon . 780044_782850

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 french3.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat24b.chaNathan 2;0.16851333.53

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. très3 · 100.0%