PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

2.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (374 utterances, 1,556 words searched).

  1. attention on va chercher un truc . 882392_884733 MOT · french/lyon_nat09b.cha, line 625 · Nathan 1;04
  2. attention [/] attention [= ! souffle] . MOT · french/lyon_nat09b.cha, line 723 · Nathan 1;04
  3. attention [/] attention [= ! souffle] . MOT · french/lyon_nat09b.cha, line 723 · Nathan 1;04
  4. attention . MOT · french/lyon_nat09b.cha, line 1052 · Nathan 1;04
  1. CHIyyy yyy . 880018_882392
    MOTon va +...
    MOT*MOT: attention on va chercher un truc . 882392_884733
    CHIyyy .
    CHIyyy . 884733_885905
  2. MOT(il) y a des confettis dis_donc .
    MOTohlàlà .
    MOT*MOT: attention [/] attention [= ! souffle] .
    CHIregarde .
    MOTah regarde ça .
  3. MOThop ça tourne . 1491557_1496467
    MOTt(u) as vu c'est des p(e)tites souris qui tournent autour du fromage . 1496467_1502155
    MOT*MOT: attention .
    CHImhm . 1502155_1508455
    JEAcar . 1508455_1523322

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 french2.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat09b.chaNathan 1;4.231,556342.57

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. attention4 · 100.0%