PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

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

  1. mais j(e) vais dessiner mais d'abord i(l) faut qu(e) j(e) mette un coup d(e) cuillère <dans l… MOT · french/lyon_nat24b.cha, line 366 · Nathan 2;00
  2. qu'est-c(e) que j(e) dois dessiner ? MOT · french/lyon_nat24b.cha, line 421 · Nathan 2;00
  1. MOT+< tu veux que j(e) dessine c'est ça ?
    CHI‹mh [?]› . 324142_329033
    MOT*MOT: mais j(e) vais dessiner mais d'abord i(l) faut qu(e) j(e) mette un coup d(e) cuillère <dans l(e)> [/] dans l(e) truc .
    CHI‹et voilà› . 329033_331618
    CHI‹voilà [?]› . 331618_334152
  2. MOTbah je viens . 377252_378428
    CHIyyy . 378428_381667
    MOT*MOT: qu'est-c(e) que j(e) dois dessiner ?
    MOTPetit_Rond encore ? 381667_383735
    CHI+< 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 french2.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat24b.chaNathan 2;0.16851222.35

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. dessiner2 · 100.0%