PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (318 utterances, 1,519 words searched).

  1. I don't care if you take the bandaid off . MOT · eng_USA_Brown/sarah091.cha, line 319 · Sarah 4;01
  2. oh # did you take my keys ? MOT · eng_USA_Brown/sarah091.cha, line 691 · Sarah 4;01
  3. how long does it take you to get from the beach to here ? MEL · eng_USA_Brown/sarah091.cha, line 1176 · Sarah 4;01
  4. le(t) me fix your hair so you can take a bath . MOT · eng_USA_Brown/sarah091.cha, line 1335 · Sarah 4;01
  5. why don't you le(t) me fix your hair so you can get in and take a bath . MOT · eng_USA_Brown/sarah091.cha, line 1341 · Sarah 4;01
  1. eng_USA_Brown/sarah091.cha, line 319 · Sarah, 4;1.11
    MOTwhy don't you le(t) me fix your hair ?
    CHII'm gonna take the bandaid off .
    MOT*MOT: I don't care if you take the bandaid off .
    CHII could put it back too .
    MOTwhy don't you le(t) me fix your hair and get you dressed ?
  2. eng_USA_Brown/sarah091.cha, line 691 · Sarah, 4;1.11
    FATno .
    FATI've got your keys .
    MOT*MOT: oh # did you take my keys ?
    FATI want my keys .
    MOTover there # by the xxx .
  3. eng_USA_Brown/sarah091.cha, line 1176 · Sarah, 4;1.11
    MOTall she's got is her good shoes .
    MOTan hour in that backyard and that's the end of her good shoes .
    MEL*MEL: how long does it take you to get from the beach to here ?
    MOT<about twenty five minutes> [//] # twenty .
    CHIand who's that ?
  4. eng_USA_Brown/sarah091.cha, line 1335 · Sarah, 4;1.11
    CHIhmm xxx .
    CHIwanna see something ?
    MOT*MOT: le(t) me fix your hair so you can take a bath .
    CHIxxx .
    MOTwhy don't you le(t) me fix your hair so you can get in and take a bath .
  5. eng_USA_Brown/sarah091.cha, line 1341 · Sarah, 4;1.11
    MOTle(t) me fix your hair so you can take a bath .
    CHIxxx .
    MOT*MOT: why don't you le(t) me fix your hair so you can get in and take a bath .
    CHIalright .
    MOThuh ?

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_Brown3.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah091.chaSarah 4;1.111,519553.29

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. take5 · 100.0%