PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (447 utterances, 1,534 words searched).

  1. we could make a train. MOT · downs-flusberg/charles1.cha, line 75
  2. you wanna make a house for the train? MOT · downs-flusberg/charles1.cha, line 123
  3. we're gonna make a big house, like this, look. MOT · downs-flusberg/charles1.cha, line 173
  4. alright, we'll make these do. MOT · downs-flusberg/charles1.cha, line 182
  5. make another cow stand with this cow. MOT · downs-flusberg/charles1.cha, line 526
  6. shall we make the cow walk or run? MOT · downs-flusberg/charles1.cha, line 531
  7. make him eat. MOT · downs-flusberg/charles1.cha, line 597
  1. downs-flusberg/charles1.cha, line 75
    CHIlion.
    MOTlet's put him on this car.
    MOT*MOT: we could make a train.
    MOTput the elephant on this car, and the lion on this car.
    CHIlion!
  2. downs-flusberg/charles1.cha, line 123
    CHItruck.
    MOT<weee> [/?]!
    MOT*MOT: you wanna make a house for the train?
    CHIhouse!
    MOTwith these blocks?
  3. downs-flusberg/charles1.cha, line 173
    MOTok?
    MOTright here.
    MOT*MOT: we're gonna make a big house, like this, look.
    CHI<oh> [/?].
    CHIhouse?
  4. downs-flusberg/charles1.cha, line 182
    MOTok.
    MOTwe don't have any more big ones.
    MOT*MOT: alright, we'll make these do.
    MOTyou wanna get the train and drive the train into the house?
    MOTI guess it's a garage, isn't it?
  5. downs-flusberg/charles1.cha, line 526
    MOTnow all the fence is up.
    MOTfind a cow.
    MOT*MOT: make another cow stand with this cow.
    MOTI see another cow.
    CHIcowie.
  6. downs-flusberg/charles1.cha, line 531
    MOTI see another cow.
    CHIcowie.
    MOT*MOT: shall we make the cow walk or run?
    CHIrun.
    MOTrun?
  7. downs-flusberg/charles1.cha, line 597
    MOTare they gonna eat?
    MOTdoes this cow wanna eat?
    MOT*MOT: make him eat.
    CHI<ah> [/?].
    MOTno?

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Charles downs-flusberg4.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/charles1.chaCharles 1,534774.56

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. make7 · 100.0%