PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

7.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (195 utterances, 780 words searched).

  1. I brought something for you to draw with . MEL · eng_USA_Brown/sarah126.cha, line 13 · Sarah 4;09
  2. do you like to draw with them ? MEL · eng_USA_Brown/sarah126.cha, line 25 · Sarah 4;09
  3. <and he> [//] and what does he do with fire ? MEL · eng_USA_Brown/sarah126.cha, line 184 · Sarah 4;09
  4. to make an eye with ? MEL · eng_USA_Brown/sarah126.cha, line 324 · Sarah 4;09
  5. is there a story that goes with your picture ? MEL · eng_USA_Brown/sarah126.cha, line 391 · Sarah 4;09
  6. why don't you tell Melissa what you were doing with Bugs_Bunny before . GAI · eng_USA_Brown/sarah126.cha, line 443 · Sarah 4;09
  1. eng_USA_Brown/sarah126.cha, line 13 · Sarah, 4;9.26
    MEL*MEL: I brought something for you to draw with .
    CHIpaper .
    MELno # something special .
  2. eng_USA_Brown/sarah126.cha, line 25 · Sarah, 4;9.26
    CHImagic markers ?
    MELmmhm .
    MEL*MEL: do you like to draw with them ?
    CHII never had one .
    MELwhy don't you ask Gail if she'll give you a piece of paper and you can try .
  3. eng_USA_Brown/sarah126.cha, line 184 · Sarah, 4;9.26
    MELhe [//] he does what ?
    CHIhe almost looks like a turtle .
    MEL*MEL: <and he> [//] and what does he do with fire ?
    CHIhuhhuhhuh@o .
    CHIblows it out .
  4. eng_USA_Brown/sarah126.cha, line 324 · Sarah, 4;9.26
    CHIfor eye .
    CHIwill it make any good like # this # huh ?
    MEL*MEL: to make an eye with ?
    MELI think it should work .
    CHIwhoops # I got it up here .
  5. eng_USA_Brown/sarah126.cha, line 391 · Sarah, 4;9.26
    CHIfire .
    MELfire .
    MEL*MEL: is there a story that goes with your picture ?
    CHIuhhuh .
    FAT0 .
  6. eng_USA_Brown/sarah126.cha, line 443 · Sarah, 4;9.26
    CHI<oh my # oh my # oh my> [/] # oh my .
    FAT0 .
    GAI*GAI: why don't you tell Melissa what you were doing with Bugs_Bunny before .
    CHII wa(s) punching him .
    GAIwhy ?

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. Sarah eng_USA_Brown7.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah126.chaSarah 4;9.26780667.69

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. with6 · 100.0%