PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (412 utterances, 1,673 words searched).

  1. you take that in and then come back for the napkins . MOT · eng_USA_Brown/adam15.cha, line 207 · Adam 2;10
  2. do you want to take the napkins for me ? MOT · eng_USA_Brown/adam15.cha, line 225 · Adam 2;10
  3. just take the spoon out # if you want it . MOT · eng_USA_Brown/adam15.cha, line 330 · Adam 2;10
  4. no # Adam # you take one . MOT · eng_USA_Brown/adam15.cha, line 2012 · Adam 2;10
  5. take two . MOT · eng_USA_Brown/adam15.cha, line 2018 · Adam 2;10
  6. take it out of your mouth and just pretend . MOT · eng_USA_Brown/adam15.cha, line 2357 · Adam 2;10
  1. eng_USA_Brown/adam15.cha, line 207 · Adam, 2;10.02
    CHIwhy not ?
    CHIwant some milk in it .
    MOT*MOT: you take that in and then come back for the napkins .
    URSwhat do you have # Adam ?
    CHIove(r) dere .
  2. eng_USA_Brown/adam15.cha, line 225 · Adam, 2;10.02
    URSwhat happened ?
    CHItake out .
    MOT*MOT: do you want to take the napkins for me ?
    CHIjust one .
    MOTno more sugar for you # Adam .
  3. eng_USA_Brown/adam15.cha, line 330 · Adam, 2;10.02
    CHI(ex)cuse me # Cromer # spoon .
    MOTno sugar .
    MOT*MOT: just take the spoon out # if you want it .
    CHIput some sugar .
    MOTno # you've already put sugar in your espresso .
  4. eng_USA_Brown/adam15.cha, line 2012 · Adam, 2;10.02
    CHIlook .
    CHIwhere mine # my graham cracker # le(t) me have one .
    MOT*MOT: no # Adam # you take one .
    CHItake twos .
    MOTalright .
  5. eng_USA_Brown/adam15.cha, line 2018 · Adam, 2;10.02
    CHItake twos .
    MOTalright .
    MOT*MOT: take two .
    CHII want have some .
    CHIhave some myself .
  6. eng_USA_Brown/adam15.cha, line 2357 · Adam, 2;10.02
    CHIdoughnut .
    CHIdoughnuts .
    MOT*MOT: take it out of your mouth and just pretend .
    CHIno .
    MOTwhen you pretend # you don't put it in .

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. Adam eng_USA_Brown3.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam15.chaAdam 2;10.021,673663.59

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. take6 · 100.0%