PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

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

  1. that's Mickey_Mouse and he's runnin(g) after Donald_Duck . GRA · eng_USA_Brown/sarah017.cha, line 959 · Sarah 2;06
  2. see # after a # nice day . GRA · eng_USA_Brown/sarah017.cha, line 1197 · Sarah 2;06
  3. oh # that's the big cat # after the mouse . GRA · eng_USA_Brown/sarah017.cha, line 1652 · Sarah 2;06
  4. <see how the big cat's> [//] he's after the mouse . GRA · eng_USA_Brown/sarah017.cha, line 1655 · Sarah 2;06
  5. see # <he's after> [/] he's after him . GRA · eng_USA_Brown/sarah017.cha, line 2032 · Sarah 2;06
  6. see # <he's after> [/] he's after him . GRA · eng_USA_Brown/sarah017.cha, line 2032 · Sarah 2;06
  1. eng_USA_Brown/sarah017.cha, line 959 · Sarah, 2;6.13
    GRAyeah .
    CHI(th)ey [?] here .
    GRA*GRA: that's Mickey_Mouse and he's runnin(g) after Donald_Duck .
    CHIyyy .
    GRADonald_Duck .
  2. eng_USA_Brown/sarah017.cha, line 1197 · Sarah, 2;6.13
    GRAthey've had an argument .
    GRAnow see they're goin(g) back home .
    GRA*GRA: see # after a # nice day .
    GRAsee them goin(g) back home in the car ?
    CHIwhere ?
  3. eng_USA_Brown/sarah017.cha, line 1652 · Sarah, 2;6.13
    CHIyyy .
    CHIxxx +/.
    GRA*GRA: oh # that's the big cat # after the mouse .
    GRA<see how the big cat's> [//] he's after the mouse .
    GRAhe's gonna eat him up .
  4. eng_USA_Brown/sarah017.cha, line 1655 · Sarah, 2;6.13
    CHIxxx +/.
    GRAoh # that's the big cat # after the mouse .
    GRA*GRA: <see how the big cat's> [//] he's after the mouse .
    GRAhe's gonna eat him up .
    CHIxxx up ?
  5. eng_USA_Brown/sarah017.cha, line 2032 · Sarah, 2;6.13
    CHIxxx .
    GRAum .
    GRA*GRA: see # <he's after> [/] he's after him .
    GRAsee him flyin(g) ?
    GRAhe's flyin(g) through the air .

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_Brown3.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah017.chaSarah 2;6.131,731563.47

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. after6 · 100.0%