PHPCLANCHILDES with regular expressions

17 matches in 17 utterances

5.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (641 utterances, 2,922 words searched).

  1. would you like to do some of your sesamestreet book now? MOT · downs-flusberg/kate02.cha, line 68
  2. now try it. MOT · downs-flusberg/kate02.cha, line 129
  3. now put this piece on top of that piece. MOT · downs-flusberg/kate02.cha, line 131
  4. now this piece ges on top of this piece. MOT · downs-flusberg/kate02.cha, line 133
  5. <oh> [/?] wanna do something different now? MOT · downs-flusberg/kate02.cha, line 149
  6. why don't you put them all in the bunny now? MOT · downs-flusberg/kate02.cha, line 192
  7. why don't you put them all over here now? MOT · downs-flusberg/kate02.cha, line 221
  8. now you need a roof. MOT · downs-flusberg/kate02.cha, line 462
  9. what are you doing now? MOT · downs-flusberg/kate02.cha, line 506
  10. now you start over. MOT · downs-flusberg/kate02.cha, line 549
  11. you're all done drawing now? MOT · downs-flusberg/kate02.cha, line 602
  12. <oops> [/?] <oh> [/?] now he looks like a sailor. MOT · downs-flusberg/kate02.cha, line 642
  13. you're talking to dickey now? MOT · downs-flusberg/kate02.cha, line 802
  14. on that phone now? MOT · downs-flusberg/kate02.cha, line 828
  15. jeffrey's a big boy now is n't he? MOT · downs-flusberg/kate02.cha, line 850
  16. let's do something else now? MOT · downs-flusberg/kate02.cha, line 1011
  17. ok, now what do you have to do? MOT · downs-flusberg/kate02.cha, line 1160
  1. MOTI think so.
    CHIno mama.
    MOT*MOT: would you like to do some of your sesamestreet book now?
    CHIno.
    MOTit's new.
  2. MOTput this piece back.
    MOTok.
    MOT*MOT: now try it.
    MOTput that piece +/.
    MOTnow put this piece on top of that piece.
  3. MOTnow try it.
    MOTput that piece +/.
    MOT*MOT: now put this piece on top of that piece.
    MOTlike this.
    MOTnow this piece ges on top of this piece.
  4. MOTnow put this piece on top of that piece.
    MOTlike this.
    MOT*MOT: now this piece ges on top of this piece.
    MOTlike that.
    CHIthere.
  5. MOTis it too heavy on top?
    CHIno.
    MOT*MOT: <oh> [/?] wanna do something different now?
    CHIno mama.
    MOTno?
  6. CHIthere.
    MOTthere.
    MOT*MOT: why don't you put them all in the bunny now?
    CHIno.
    MOTput them all in here.
  7. MOTthey won't all fit in there though will they?
    MOTok, that's good.
    MOT*MOT: why don't you put them all over here now?
    CHIhere let me put lego away.
    MOTI think that's all that will fit honey.
  8. MOTwhat do you have to do to make a house?
    MOT<oh> [/?] that looks like a good house.
    MOT*MOT: now you need a roof.
    CHImake a roof?
    CHIa roof.
  9. CHImaking a house.
    CHImaking a house.
    MOT*MOT: what are you doing now?
    CHIa head.
    MOTa head?
  10. MOTbig head.
    MOTok.
    MOT*MOT: now you start over.
    CHIeyes.
    MOTwhere's the other eye?
  11. MOTyou get chalk all over your arms.
    CHIall clean now.
    MOT*MOT: you're all done drawing now?
    CHIno.
    MOT<oh> [/?] boy present.
  12. MOTor his hat.
    MOTsee if they come off.
    MOT*MOT: <oops> [/?] <oh> [/?] now he looks like a sailor.
    CHIis this?
    MOTwhat is that?
  13. CHIyeah.
    CHIhi dickey, we hafta go to doctor's.
    MOT*MOT: you're talking to dickey now?
    CHIyeah.
    CHIhi mamme, <you're> [/?] you're fine.
  14. MOTput it away?
    CHIhave to talk on the telephone.
    MOT*MOT: on that phone now?
    CHIyeah.
    MOT<oh> [/?].
  15. CHIjeffrey's the tiny baby.
    MOTjeffrey's not a tiny baby anymore.
    MOT*MOT: jeffrey's a big boy now is n't he?
    MOTwell, he's a little boy.
    CHIa little boy.
  16. MOTok.
    CHIlet's do something else now.
    MOT*MOT: let's do something else now?
    MOTwell, how about +/.
    MOT<oh> [/?] that airplane over there.
  17. MOTyou had it the right way.
    MOTturn it around.
    MOT*MOT: ok, now what do you have to do?
    CHIpress it down.
    MOTpress it down.

Matches by child

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

  1. Kate downs-flusberg5.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/kate02.chaKate 2,92217175.82

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. now17 · 100.0%