PHPCLANCHILDES with regular expressions

18 matches in 18 utterances

7.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (570 utterances, 2,402 words searched).

  1. this man gonna drive the train, right here? MOT · downs-flusberg/kate01.cha, line 45
  2. no, you had it right. MOT · downs-flusberg/kate01.cha, line 93
  3. that was right. MOT · downs-flusberg/kate01.cha, line 94
  4. track-s, right. MOT · downs-flusberg/kate01.cha, line 103
  5. well, you have to hold this train right here. MOT · downs-flusberg/kate01.cha, line 115
  6. you gave me four that's right. MOT · downs-flusberg/kate01.cha, line 480
  7. that's right, hon. MOT · downs-flusberg/kate01.cha, line 631
  8. a head, right. MOT · downs-flusberg/kate01.cha, line 708
  9. that's right. MOT · downs-flusberg/kate01.cha, line 711
  10. that's right. MOT · downs-flusberg/kate01.cha, line 741
  11. <oh> [/?] he's right there because you're making a picture of him. MOT · downs-flusberg/kate01.cha, line 747
  12. that's right. MOT · downs-flusberg/kate01.cha, line 748
  13. he's a fireman right. MOT · downs-flusberg/kate01.cha, line 848
  14. what about this one right here? MOT · downs-flusberg/kate01.cha, line 895
  15. that's right. MOT · downs-flusberg/kate01.cha, line 946
  16. what is this right here? MOT · downs-flusberg/kate01.cha, line 967
  17. pliers that's right. MOT · downs-flusberg/kate01.cha, line 1047
  18. this is helen right here. MOT · downs-flusberg/kate01.cha, line 1071
  1. CHIdickie.
    MOTdickie.
    MOT*MOT: this man gonna drive the train, right here?
    CHIyeah.
    MOTyeah?
  2. MOTthis piece ges in this piece.
    CHIin this piece.
    MOT*MOT: no, you had it right.
    MOTthat was right.
    MOTyou have it?
  3. CHIin this piece.
    MOTno, you had it right.
    MOT*MOT: that was right.
    MOTyou have it?
    MOTvery good kell.
  4. MOTwhat's the train drive on?
    CHItrack.
    MOT*MOT: track-s, right.
    CHIthat can't work.
    MOTthat one can't work?
  5. MOTwell, here, I'll help you.
    MOTtry it again.
    MOT*MOT: well, you have to hold this train right here.
    MOTand hold this train +/.
    MOTlook what you're doing.
  6. CHIfour.
    MOTfour.
    MOT*MOT: you gave me four that's right.
    CHIthat's all.
    MOTthat's all?
  7. CHIxxx this microphone.
    MOTmicrophone.
    MOT*MOT: that's right, hon.
    MOTwhat's jeff doing out there?
    CHIhammering.
  8. MOTwhat do you need to make first?
    CHIhead.
    MOT*MOT: a head, right.
    CHIhead.
    MOTa circle.
  9. CHIhead.
    MOTa circle.
    MOT*MOT: that's right.
    MOTand now <what do you need> [/?] what do you want to put on the face?
    CHIeye.
  10. CHIdad <away> [/?] far away in big plane.
    MOTdad's far away in a big plane.
    MOT*MOT: that's right.
    MOTwhere is he?
    MOThe's +/.
  11. CHIright there.
    MOThe's in +/.
    MOT*MOT: <oh> [/?] he's right there because you're making a picture of him.
    MOTthat's right.
    MOT<oh> [/?] you erased the picture.
  12. MOThe's in +/.
    MOT<oh> [/?] he's right there because you're making a picture of him.
    MOT*MOT: that's right.
    MOT<oh> [/?] you erased the picture.
    MOTlook.
  13. MOTwhat's he doing?
    CHIfireman.
    MOT*MOT: he's a fireman right.
    MOT<what's> [/?] what do you need?
    MOTwhat ges with the fireman?
  14. CHIfix toy.
    MOT<oh> [/?] that's the man that fixs toys?
    MOT*MOT: what about this one right here?
    CHIgrover.
    MOTyeah.
  15. CHIgo.
    MOTstop and go.
    MOT*MOT: that's right.
    MOTok.
    CHII need go outside.
  16. MOT<oh> [/?] you want to do that one.
    MOTwhat is that?
    MOT*MOT: what is this right here?
    CHI<oh> [/?] <jeffrey, jeffrey, jeffrey> [/?] jeffrey talking outside.
    MOThe's talking outside.
  17. MOTno, they're almost like scissors.
    CHIpliers.
    MOT*MOT: pliers that's right.
    CHIcut my toes up.
    MOTyou're gonna do what?
  18. CHIlook.
    MOTtell her why you got that?
    MOT*MOT: this is helen right here.
    MOTtell her why you got tht.
    CHIschool.

Matches by child

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

  1. Kate downs-flusberg7.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/kate01.chaKate 2,40218187.49

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. right18 · 100.0%