PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

2.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (256 utterances, 1,085 words searched).

  1. <j(e) viens d(e) dire non> [/] (.) je viens d(e) dire non . MOT · french/lyon_nat07a.cha, line 913 · Nathan 1;03
  2. <j(e) viens d(e) dire non> [/] (.) je viens d(e) dire non . MOT · french/lyon_nat07a.cha, line 913 · Nathan 1;03
  3. <je viens de dire non> [= ! ferme] . 1485548_1488587 MOT · french/lyon_nat07a.cha, line 917 · Nathan 1;03
  1. MOTnon <laisse fermé> [/] laisse fermé maint(e)nant ! 1470403_1477780
    MOTNat mais arrête ! 1477788_1485540
    MOT*MOT: <j(e) viens d(e) dire non> [/] (.) je viens d(e) dire non .
    MOThein !
    MOT<je viens de dire non> [= ! ferme] . 1485548_1488587
  2. MOT<j(e) viens d(e) dire non> [/] (.) je viens d(e) dire non .
    MOThein !
    MOT*MOT: <je viens de dire non> [= ! ferme] . 1485548_1488587
    MOTNat (.) tu m'écoutes ? 1488597_1492283
    MOTvoilà vas faire autre chose !

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 french2.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat07a.chaNathan 1;3.231,085232.76

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. dire3 · 100.0%