PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (330 utterances, 1,348 words searched).

  1. hop ah bah là i(l) [/] <il s('est)> [//] il est bloqué su(r) l(e) tapis . 12771… MOT · french/lyon_mar02a.cha, line 165 · Marie 1;00
  2. bah dis donc ! MOT · french/lyon_mar02a.cha, line 335 · Marie 1;00
  3. bah alors ! GER · french/lyon_mar02a.cha, line 420 · Marie 1;00
  1. MOTtout douc(e)ment hein . 122078_127715
    MOToui .
    MOT*MOT: hop ah bah là i(l) [/] <il s('est)> [//] il est bloqué su(r) l(e) tapis . 127715_132506
    CHIah . 132505_134438
    CHIyyy yyy . 134438_141668
  2. MOTt(u) aimerais bien <que j(e) te> [/] que j(e) te ramène vers la caméra ?
    GERtu veux voir la caméra ? 297706_302233
    MOT*MOT: bah dis donc !
    GERhop allez regarde , touc !
    MOTquelle curiosité !
  3. GERe(lle) veut toucher j(e) pense . 356713_358676
    GERtu veux r(e)garder regarde .
    GER*GER: bah alors !
    GERtu pleures .
    GERt(u) as vu ? 358676_367716

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 french2.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar02a.chaMarie 1;0.231,348332.23

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. bah3 · 100.0%