PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.47 per 1,000 words of the child (CHI), in 1 of 1 transcripts (359 utterances, 1,097 words searched).

  1. we can have sheer@p up . CHI · eng_USA_Brown/sarah090.cha, line 15 · Sarah 4;01
  2. we +... CHI · eng_USA_Brown/sarah090.cha, line 330 · Sarah 4;01
  3. um # so we can make it now . CHI · eng_USA_Brown/sarah090.cha, line 1024 · Sarah 4;01
  4. &wh # why don't we xxx ? CHI · eng_USA_Brown/sarah090.cha, line 1264 · Sarah 4;01
  5. guess who we spun ? CHI · eng_USA_Brown/sarah090.cha, line 1381 · Sarah 4;01
  6. guess who we spun # all up ? CHI · eng_USA_Brown/sarah090.cha, line 1385 · Sarah 4;01
  1. eng_USA_Brown/sarah090.cha, line 15 · Sarah, 4;1.04
    CHIxxx Jo .
    CHIum Daddy .
    CHI*CHI: we can have sheer@p up .
    CHI<I want> [/] # I want you [/] # you to +...
    CHI<I want> [/] # I want you go xxx .
  2. eng_USA_Brown/sarah090.cha, line 330 · Sarah, 4;1.04
    CHIyeah .
    FATthink how many candy bars you could buy .
    CHI*CHI: we +...
    FATyou'd probably buy a whole boxful .
    CHIyeah .
  3. eng_USA_Brown/sarah090.cha, line 1024 · Sarah, 4;1.04
    CHII see tuna+fish # I see tuna+fish .
    MOThere put it <on the table> [/] # on the table .
    CHI*CHI: um # so we can make it now .
    FATwhat kind of tuna+fish is that ?
    CHIthe um # yyy .
  4. eng_USA_Brown/sarah090.cha, line 1264 · Sarah, 4;1.04
    CHIlet me see .
    FATya can't .
    CHI*CHI: &wh # why don't we xxx ?
    FATit won't .
    FATya need a can opener .
  5. eng_USA_Brown/sarah090.cha, line 1381 · Sarah, 4;1.04
    CHIbunny # bunny # that means bunny # bunny # bunny # huh ?
    CHIbunnies fun .
    CHI*CHI: guess who we spun ?
    FATwhat ?
    CHIguess who we spun # all up ?
  6. eng_USA_Brown/sarah090.cha, line 1385 · Sarah, 4;1.04
    CHIguess who we spun ?
    FATwhat ?
    CHI*CHI: guess who we spun # all up ?
    CHI# guess .
    FATguess what ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown5.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah090.chaSarah 4;1.041,097665.47

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. we6 · 100.0%