PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 909 words searched).

  1. tu veux qu'on mette le chien ? 550902_552315 MOT · french/lyon_nat06a.cha, line 465 · Nathan 1;02
  2. hop le chien . 553342_555675 MOT · french/lyon_nat06a.cha, line 470 · Nathan 1;02
  3. au_r(e)voir le chien . 590395_591687 MOT · french/lyon_nat06a.cha, line 492 · Nathan 1;02
  1. MOToh . 546862_550902
    MOT(il) y a rien .
    MOT*MOT: tu veux qu'on mette le chien ? 550902_552315
    MOTregar(de) ! 552315_553342
    MOThop le chien . 553342_555675
  2. MOTtu veux qu'on mette le chien ? 550902_552315
    MOTregar(de) ! 552315_553342
    MOT*MOT: hop le chien . 553342_555675
    MOTdans le caddie . 555675_557068
    MOTwww [= ! souffle] . 557068_583120
  3. MOTon le met dedans ? 588268_589125
    MOThop . 589125_590395
    MOT*MOT: au_r(e)voir le chien . 590395_591687
    MOTtu pars avec ? 591687_595403
    MOThop . 595403_597077

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 french3.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat06a.chaNathan 1;2.26909333.30

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. chien3 · 100.0%