PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (469 utterances, 1,263 words searched).

  1. éh faut s(e) mett(re) debout bonhomme . 372067_373732 MOT · french/lyon_nat20a.cha, line 613 · Nathan 1;11
  2. donne moi ton p(e)tit bonhomme là ! 668065_669933 MOT · french/lyon_nat20a.cha, line 1029 · Nathan 1;11
  3. le p(e)tit bonhomme là ! 682103_683500 MOT · french/lyon_nat20a.cha, line 1051 · Nathan 1;11
  1. CHIah . 370498_372067
    MOT+< oh_hisse .
    MOT*MOT: éh faut s(e) mett(re) debout bonhomme . 372067_373732
    MOT(il) faut se mett(re) debout hein . 373762_375512
    CHImh . 375512_377878
  2. MOThop . 666708_668065
    MOTregarde !
    MOT*MOT: donne moi ton p(e)tit bonhomme là ! 668065_669933
    MOTparterre là . 669933_671782
    MOTc(el)ui là là . 671782_673283
  3. MOTdonne le moi ! 677850_679942
    MOTdonne ! 679942_682103
    MOT*MOT: le p(e)tit bonhomme là ! 682103_683500
    MOTc(el)ui là là . 683500_684740
    MOThop . 684740_686195

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 french2.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat20a.chaNathan 1;11.31,263332.38

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. bonhomme3 · 100.0%