PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (534 utterances, 2,082 words searched).

  1. tu me rends la terre ou pas ? 971942_973173 MOT · french/lyon_nat38b.cha, line 1102 · Nathan 2;08
  2. j(e) me d(e)mande si i(l) (ne) faudrait pas mettre des +... 979050_982405 MOT · french/lyon_nat38b.cha, line 1110 · Nathan 2;08
  3. j(e) me suis lever trop vite . MOT · french/lyon_nat38b.cha, line 1165 · Nathan 2;08
  1. MOTbon Chi tu m(e) rende ma terre . 965457_970777
    CHIquoi . 970777_971942
    MOT*MOT: tu me rends la terre ou pas ? 971942_973173
    MOTque j(e) puis mettre mes +... 973173_975010
    JEAyyy .
  2. JEAyyy .
    MOTen fait +... 975010_979050
    MOT*MOT: j(e) me d(e)mande si i(l) (ne) faudrait pas mettre des +... 979050_982405
    JEAyyy .
    JEAoh [/] oh .
  3. MOTah d'accord . 1021573_1024007
    JEAtu veux voir ? 1024007_1025727
    MOT*MOT: j(e) me suis lever trop vite .
    MOTou la . 1025727_1030085
    JEAc'est par là hein ! 1030085_1032288

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 french1.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat38b.chaNathan 2;8.142,082331.44

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. me3 · 100.0%