PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,699 words searched).

  1. yes # what are ya trying to do ? GAI · eng_USA_Brown/sarah100.cha, line 18 · Sarah 4;03
  2. what are you making now ? GAI · eng_USA_Brown/sarah100.cha, line 263 · Sarah 4;03
  3. are you showing me ? GAI · eng_USA_Brown/sarah100.cha, line 425 · Sarah 4;03
  4. are you gonna do all the greens now ? MEL · eng_USA_Brown/sarah100.cha, line 626 · Sarah 4;03
  5. are those blue ? MEL · eng_USA_Brown/sarah100.cha, line 674 · Sarah 4;03
  6. are they ? MEL · eng_USA_Brown/sarah100.cha, line 678 · Sarah 4;03
  7. yeah # your scissors are over Nana's . MOT · eng_USA_Brown/sarah100.cha, line 970 · Sarah 4;03
  8. are they butterfingers ? GAI · eng_USA_Brown/sarah100.cha, line 1271 · Sarah 4;03
  1. CHIdidn('t) huh ?
    CHIhuh ?
    GAI*GAI: yes # what are ya trying to do ?
    CHItrying to make den@u r@l .
    GAIcan you make it this way ?
  2. MOTI seem to be breaking an awful lot and I never break dishes .
    MOTlooks like they're all goin(g) .
    GAI*GAI: what are you making now ?
    CHIwhat is dat ?
    GAIwhat does it look like ?
  3. GAIdid I learn to do this yet ?
    CHIyeah .
    GAI*GAI: are you showing me ?
    CHIyes .
    CHIsee ?
  4. GAIc@l o@l seven u@l one .
    CHIoh # now .
    MEL*MEL: are you gonna do all the greens now ?
    CHIyep .
    CHIgreens go right in here # huh ?
  5. MELI don't either .
    CHInow let's do the blues # here .
    MEL*MEL: are those blue ?
    CHIyeah .
    MELare they ?
  6. MELare those blue ?
    CHIyeah .
    MEL*MEL: are they ?
    CHIoh # red .
    MELright .
  7. CHIMommy # get the scissors .
    CHII wanna cut it out .
    MOT*MOT: yeah # your scissors are over Nana's .
    CHII want de scissors .
    MOTxxx .
  8. GAIbutterfingers .
    CHIwhat do ya think ?
    GAI*GAI: are they butterfingers ?
    CHIno .
    CHII'm playso@c .

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_Brown4.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah100.chaSarah 4;3.131,699884.71

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. are8 · 100.0%