PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (401 utterances, 1,520 words searched).

  1. c'est bon ? 360690_361100 MOT · french/lyon_mar16b.cha, line 603 · Marie 1;10
  2. (.) c'est pas bon ? 1212371_1214856 MOT · french/lyon_mar16b.cha, line 1665 · Marie 1;10
  3. ah bon . 1217970_1219451 MOT · french/lyon_mar16b.cha, line 1675 · Marie 1;10
  1. MOTwww [= ! rit] .
    CHIyyy . 359686_360690
    MOT*MOT: c'est bon ? 360690_361100
    CHIdoudou . 361100_361981
    MOTmaman elle en mange un petit bout hein . 361980_364105
  2. MOTj(e) sais pas si c'est très solide .
    CHIyyy pin_pon@c ça . 1210640_1212371
    MOT*MOT: (.) c'est pas bon ? 1212371_1214856
    CHIyyy pin_pon@c ça . 1214855_1216670
    MOTah la pin_pon@c . 1216670_1217970
  3. CHIyyy pin_pon@c ça . 1214855_1216670
    MOTah la pin_pon@c . 1216670_1217970
    MOT*MOT: ah bon . 1217970_1219451
    CHI+< yyy pin_pon@c ça .
    MOTah oui c'est un camion . 1219450_1221511

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. Marie french1.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar16b.chaMarie 1;10.111,520331.97

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. bon3 · 100.0%