PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (439 utterances, 2,252 words searched).

  1. why would you put two wheels there ? MOT · eng_USA_Brown/adam39.cha, line 253 · Adam 3;10
  2. let's put them all in one place to start . URS · eng_USA_Brown/adam39.cha, line 1364 · Adam 3;10
  3. Adam # if we put this here and we all start racing who wins the race ? MOT · eng_USA_Brown/adam39.cha, line 1556 · Adam 3;10
  4. I think perhaps you'll have to put it together in some way . MOT · eng_USA_Brown/adam39.cha, line 1717 · Adam 3;10
  5. put it down . MOT · eng_USA_Brown/adam39.cha, line 1773 · Adam 3;10
  1. eng_USA_Brown/adam39.cha, line 253 · Adam, 3;10.15
    MOTyes # it only has one .
    CHII have put a [?] two wheel on it .
    MOT*MOT: why would you put two wheels there ?
    CHIwhat may happen if I put two wheels there ?
    CHIwill I see it ?
  2. eng_USA_Brown/adam39.cha, line 1364 · Adam, 3;10.15
    CHIthis is de farthest .
    URSand did they have a race # Adam ?
    URS*URS: let's put them all in one place to start .
    CHIhere's one .
    URSdid they roll ?
  3. eng_USA_Brown/adam39.cha, line 1556 · Adam, 3;10.15
    CHIMommy # turn dere .
    CHImines@n go dere .
    MOT*MOT: Adam # if we put this here and we all start racing who wins the race ?
    CHImy car wins de race .
    MOThow does your car win ?
  4. eng_USA_Brown/adam39.cha, line 1717 · Adam, 3;10.15
    MOTyou have to do something to it first .
    CHIwhat do I have to do # huh ?
    MOT*MOT: I think perhaps you'll have to put it together in some way .
    CHII don't see +...
    MOTfirst you have to find out what it is .
  5. eng_USA_Brown/adam39.cha, line 1773 · Adam, 3;10.15
    CHIyou untie it first .
    CHIa kite .
    MOT*MOT: put it down .
    CHIlook .
    CHIhow do you fly dis ?

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_Brown2.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam39.chaAdam 3;10.152,252552.22

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. put5 · 100.0%