PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 903 words searched).

  1. et monsieur Nanou ! MOT · french/lyon_nat17a.cha, line 495 · Nathan 1;09
  2. +< monsieur Nanou là . 897505_902628 JEA · french/lyon_nat17a.cha, line 500 · Nathan 1;09
  3. aller monsieur Nanou . 958147_969410 MOT · french/lyon_nat17a.cha, line 588 · Nathan 1;09
  1. MOTbravo . 872827_873120
    CHIyyy . 873120_897505
    MOT*MOT: et monsieur Nanou !
    MOTon va aller se mett(r)e en short et tout .
    JEA+< monsieur Nanou là . 897505_902628
  2. MOTet monsieur Nanou !
    MOTon va aller se mett(r)e en short et tout .
    JEA*JEA: +< monsieur Nanou là . 897505_902628
    CHInon . 902628_903247
    MOTsi . 903247_903848
  3. MOTbon (.) très bien . 928348_929707
    CHIyyy . 929707_958147
    MOT*MOT: aller monsieur Nanou . 958147_969410
    MOTviens là . 969410_975618
    MOTah Nat j(e) viens passer l'aspirateur . 975618_988198

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 french3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat17a.chaNathan 1;9.3903333.32

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. monsieur3 · 100.0%