PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (309 utterances, 1,338 words searched).

  1. oh: ! 514698_516715 MOT · french/lyon_nat05b.cha, line 308 · Nathan 1;02
  2. oh non tu vas pas recommencer (.) hein ! 1619515_1623100 MOT · french/lyon_nat05b.cha, line 995 · Nathan 1;02
  3. +< oh: mes petits www [= ! li] enfants je suis là ! MOT · french/lyon_nat05b.cha, line 1038 · Nathan 1;02
  1. MOTtu veux la fermer ? 509515_512748
    MOThop ! 512752_514698
    MOT*MOT: oh: ! 514698_516715
    JEA+< non [/] non [/] non [/] non !
    MOTmais si c'est fini ! 516725_518012
  2. CHIyyy . 1608020_1619515
    MOTmerci .
    MOT*MOT: oh non tu vas pas recommencer (.) hein ! 1619515_1623100
    MOTt(u) es pas obligé d(e) recommencer avec ça ! 1623113_1626212
    MOTsi ?
  3. FAT+< et ben mon petit tu vas +...
    FAT+< viens [/] viens [/] viens .
    MOT*MOT: +< oh: mes petits www [= ! li] enfants je suis là !
    FATben mon petit (.) je suis là ! 1675763_1688603
    CHI+< yyy .

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 french2.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat05b.chaNathan 1;2.141,338332.24

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. oh3 · 100.0%