PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

0.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (656 utterances, 2,565 words searched).

  1. j(e) me serai assise (.) là ou tu es ! MOT · french/lyon_nat40a.cha, line 265 · Nathan 2;10
  2. +< tu me diras vu l'état de ton [/] ton tee_shirt@s:eng de toute façon ! MOT · french/lyon_nat40a.cha, line 924 · Nathan 2;10
  1. french/lyon_nat40a.cha, line 265 · Nathan, 2;10.7
    MOTben non .
    JEA+< ben non . 276443_278588
    MOT*MOT: j(e) me serai assise (.) là ou tu es !
    JEA<j(e) peux avoir du nutella> [?] ? 278588_283007
    MOTmm c'est bon ça .
  2. french/lyon_nat40a.cha, line 924 · Nathan, 2;10.7
    MOT(il) vaut mieux être prudent . 767787_774243
    JEAc'est bon au nutella tu veux goûter .
    MOT*MOT: +< tu me diras vu l'état de ton [/] ton tee_shirt@s:eng de toute façon !
    JEA+< tu veux goûter au nutella .
    MOTnon . 774243_779752

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 french0.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat40a.chaNathan 2;10.72,565220.78

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. me2 · 100.0%