PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 1,731 words searched).

  1. he's playin(g) with a ball . GRA · eng_USA_Brown/sarah017.cha, line 102 · Sarah 2;06
  2. with that one . GRA · eng_USA_Brown/sarah017.cha, line 762 · Sarah 2;06
  3. that's a cart with pumpkins in it . MOT · eng_USA_Brown/sarah017.cha, line 1287 · Sarah 2;06
  4. yeah # xxx with a knife . GRA · eng_USA_Brown/sarah017.cha, line 1482 · Sarah 2;06
  5. count them # with your finger . GRA · eng_USA_Brown/sarah017.cha, line 2054 · Sarah 2;06
  6. yeah # with crayons . GRA · eng_USA_Brown/sarah017.cha, line 2136 · Sarah 2;06
  7. you know how you do with crayons . GRA · eng_USA_Brown/sarah017.cha, line 2138 · Sarah 2;06
  8. what did you do with your crayons ? MOT · eng_USA_Brown/sarah017.cha, line 2215 · Sarah 2;06
  1. GRAkitty # yeah # and what's he doin(g) ?
    CHIxxx a ball .
    GRA*GRA: he's playin(g) with a ball .
    GRAwhat's this ?
    CHI0 [=! starts to make a noise] .
  2. GRAshe always keeps me busy # reading .
    MOTreading # reading .
    GRA*GRA: with that one .
    CHIxxx book ?
    CHIdere .
  3. CHIhe broke it all # dere .
    CHIdere .
    MOT*MOT: that's a cart with pumpkins in it .
    CHIpunk(ins) [: pumpkins] # it ?
    MOTmmhm .
  4. GRAthat's cheese .
    CHIcheese ?
    GRA*GRA: yeah # xxx with a knife .
    CHIknife .
    GRAsee # cut the cheese .
  5. GRAhow many here ?
    CHIxxx +/.
    GRA*GRA: count them # with your finger .
    GRAcount .
    CHIone # two # three # dere !
  6. GRAhe's painting .
    CHIhe painting .
    GRA*GRA: yeah # with crayons .
    GRAyou know how you do with crayons .
    CHIxxx +/.
  7. CHIhe painting .
    GRAyeah # with crayons .
    GRA*GRA: you know how you do with crayons .
    CHIxxx +/.
    GRAget your crayon book .
  8. MOTwhat did you do today in your room when you were in [//] supposed to be taking your nap ?
    CHIxxx +/.
    MOT*MOT: what did you do with your crayons ?
    MOTI broke it .
    MOTyeah # you broke them # and what else did you do ?

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_Brown4.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah017.chaSarah 2;6.131,731884.62

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. with8 · 100.0%