PHPCLANCHILDES with regular expressions

14 matches in 13 utterances

5.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (566 utterances, 2,691 words searched).

  1. why don't we name it something . MOT · eng_USA_Brown/adam37.cha, line 284 · Adam 3;08
  2. what shall we do ? URS · eng_USA_Brown/adam37.cha, line 534 · Adam 3;08
  3. oh # we [/] we have a factory ? MOT · eng_USA_Brown/adam37.cha, line 700 · Adam 3;08
  4. oh # we [/] we have a factory ? MOT · eng_USA_Brown/adam37.cha, line 700 · Adam 3;08
  5. what do we make in our factory ? MOT · eng_USA_Brown/adam37.cha, line 708 · Adam 3;08
  6. how shall we do it ? MOT · eng_USA_Brown/adam37.cha, line 942 · Adam 3;08
  7. oh # we're going to take turns . MOT · eng_USA_Brown/adam37.cha, line 1359 · Adam 3;08
  8. yes # but we have to take turns . MOT · eng_USA_Brown/adam37.cha, line 1369 · Adam 3;08
  9. no # you said we would put them up together . MOT · eng_USA_Brown/adam37.cha, line 1509 · Adam 3;08
  10. we saw this already . MOT · eng_USA_Brown/adam37.cha, line 2130 · Adam 3;08
  11. except we don't call that a banjo . MOT · eng_USA_Brown/adam37.cha, line 2552 · Adam 3;08
  12. we have a Cub_Scout named Israel . MOT · eng_USA_Brown/adam37.cha, line 2656 · Adam 3;08
  13. it's about the little country that we call the state of Israel . MOT · eng_USA_Brown/adam37.cha, line 2662 · Adam 3;08
  14. no # we're going to have those for supper . MOT · eng_USA_Brown/adam37.cha, line 3058 · Adam 3;08
  1. CHII wonder what it is # Mommy .
    CHIwill you tell me what it is ?
    MOT*MOT: why don't we name it something .
    CHIyou tell me what it is .
    MOTno # you tell me what it is .
  2. MOTyou'll have to talk to Urs(u)la about that .
    CHII need something to play with .
    URS*URS: what shall we do ?
    CHIplay with something else .
    MOTalright .
  3. MOTin the factory ?
    CHIin our factory ?
    MOT*MOT: oh # we [/] we have a factory ?
    CHIoh # yeah .
    MOTwhere ?
  4. MOTwhere ?
    CHIdown on Williams street .
    MOT*MOT: what do we make in our factory ?
    CHIwe don't make nothing .
    CHII a cowboy maker .
  5. CHIlet's build the animals up .
    MOTalright .
    MOT*MOT: how shall we do it ?
    MOTd(o) you have something for fences # Adam ?
    CHIyep .
  6. MOTnow you'll have to pick them up .
    CHIno # you do it again .
    MOT*MOT: oh # we're going to take turns .
    MOTI put them up last time .
    CHIlet's do it again .
  7. MOTyou put them up .
    CHIno # you put them up with me .
    MOT*MOT: yes # but we have to take turns .
    CHIso we can have space ?
    CHIMommy # the monkeys are playing .
  8. MOTthey're already up .
    CHIyou put these up .
    MOT*MOT: no # you said we would put them up together .
    CHIlet's put dem up together .
    MOTalright .
  9. MOTthat's the beginning .
    CHIyou read it .
    MOT*MOT: we saw this already .
    MOTwould you like to see another one ?
    CHIyeah .
  10. CHIone is on a horse playing [=? play] a banjo .
    MOTthat's a ranch .
    MOT*MOT: except we don't call that a banjo .
    MOTwhat is that ?
    MOTlook again .
  11. CHIIsrael is a Boy_Scout .
    MOToh yes .
    MOT*MOT: we have a Cub_Scout named Israel .
    CHIwhy you call that record Israel ?
    MOTthis the country .
  12. CHIwhy you call that record Israel ?
    MOTthis the country .
    MOT*MOT: it's about the little country that we call the state of Israel .
    MOTwould you like to see this one ?
    CHIno .
  13. MOTthat's enough .
    CHIcan I have some strawberries ?
    MOT*MOT: no # we're going to have those for supper .
    CHIno # right now .
    MOTwait # I don't feel like boxing .

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_Brown5.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam37.chaAdam 3;8.262,69113145.20

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. we14 · 100.0%