PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (394 utterances, 1,280 words searched).

  1. see an owl ? FAT · eng_USA_Brown/sarah010.cha, line 545 · Sarah 2;04
  2. I don't see no pennies . FAT · eng_USA_Brown/sarah010.cha, line 684 · Sarah 2;04
  3. I don't see no pennies . FAT · eng_USA_Brown/sarah010.cha, line 688 · Sarah 2;04
  4. round # see # it rolls . FAT · eng_USA_Brown/sarah010.cha, line 861 · Sarah 2;04
  5. like [//] <we'll put a ribbon on yours> [//] see you have a ribbon . MOT · eng_USA_Brown/sarah010.cha, line 1721 · Sarah 2;04
  6. see # look at your ribbon . MOT · eng_USA_Brown/sarah010.cha, line 1727 · Sarah 2;04
  1. eng_USA_Brown/sarah010.cha, line 545 · Sarah, 2;4.19
    CHInice .
    FATnice horsie .
    FAT*FAT: see an owl ?
    CHIowl .
    FATwhat's the owl say ?
  2. eng_USA_Brown/sarah010.cha, line 684 · Sarah, 2;4.19
    CHIpe(nn)y .
    FATnot a penny .
    FAT*FAT: I don't see no pennies .
    CHIhuh ?
    FATI don't see no pennies .
  3. eng_USA_Brown/sarah010.cha, line 688 · Sarah, 2;4.19
    FATI don't see no pennies .
    CHIhuh ?
    FAT*FAT: I don't see no pennies .
    FATwant some money ?
    CHI0 .
  4. eng_USA_Brown/sarah010.cha, line 861 · Sarah, 2;4.19
    FATit's a round ball .
    CHIround ball ?
    FAT*FAT: round # see # it rolls .
    CHIroll .
    FATrolls # you say rolls ["] again .
  5. eng_USA_Brown/sarah010.cha, line 1721 · Sarah, 2;4.19
    MOTMommy will give you a ribbon tomorrow .
    CHIxxx .
    MOT*MOT: like [//] <we'll put a ribbon on yours> [//] see you have a ribbon .
    GLOyou have a ribbon here .
    MOTsee # look at your ribbon .
  6. eng_USA_Brown/sarah010.cha, line 1727 · Sarah, 2;4.19
    MOTlike [//] <we'll put a ribbon on yours> [//] see you have a ribbon .
    GLOyou have a ribbon here .
    MOT*MOT: see # look at your ribbon .
    MOTyou got a red ribbon # and I got a pink ribbon .
    CHIxxx .

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_Brown4.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah010.chaSarah 2;4.191,280664.69

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. see6 · 100.0%