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. alors attention hein ! GER · french/lyon_mar02a.cha, line 451 · Marie 1;00
  2. attention ! 403476_404993 MOT · french/lyon_mar02a.cha, line 483 · Marie 1;00
  3. tu fais des dérapés en plus contrôlés , attention ! GER · french/lyon_mar02a.cha, line 608 · Marie 1;00
  1. GERregarde hop pa(r)ce que i(l) faut qu(e) j(e) vise en même temps .
    MOTwww [= ! rit] . 379145_382830
    GER*GER: alors attention hein !
    CHIyyy . 382830_385510
    CHIyyy yyy yyy . 385510_390831
  2. GERah voilà c'est ça !
    MOTah oh oh eh ! 397155_403476
    MOT*MOT: attention ! 403476_404993
    MOTne touche pas pa(r)ce que <ça va> [/] ça va troubler l'image . 404993_409555
    MOTeh Mar , on va s'occuper d'aut(re) chose xxx . 409555_413078
  3. MOTt(u) arrives à t(e) déplacer toute seule ? 527596_534433
    MOTouh ! 534433_539310
    GER*GER: tu fais des dérapés en plus contrôlés , attention !
    CHIyyy . 539310_546670
    MOTcomment ça s(e) passe ? 546670_548398

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. attention3 · 100.0%