PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

2.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (1,051 utterances, 5,429 words searched).

  1. you closed it yeah # well how're you gonna get the screwdriver now ? LOI · eng_USA_Bloom/peter05.cha, line 1308 · Peter 1;11
  2. ok # well # you put the screwdriver back ## how (a)bout the lady ? LOI · eng_USA_Bloom/peter05.cha, line 1367 · Peter 1;11
  3. how many do you have ? LOI · eng_USA_Bloom/peter05.cha, line 1756 · Peter 1;11
  4. yeah # now how many do you have ? LOI · eng_USA_Bloom/peter05.cha, line 1875 · Peter 1;11
  5. uhhuh # shows how you can take it apart . PAT · eng_USA_Bloom/peter05.cha, line 2359 · Peter 1;11
  6. how would you take it out ? PAT · eng_USA_Bloom/peter05.cha, line 2482 · Peter 1;11
  7. I don't know how else to say it . LOI · eng_USA_Bloom/peter05.cha, line 3345 · Peter 1;11
  8. I should [/] how do I get more ? LOI · eng_USA_Bloom/peter05.cha, line 3413 · Peter 1;11
  9. how do you get it off ? LOI · eng_USA_Bloom/peter05.cha, line 3568 · Peter 1;11
  10. I don't know how you do it . LOI · eng_USA_Bloom/peter05.cha, line 3688 · Peter 1;11
  11. I don't how you got that one off . LOI · eng_USA_Bloom/peter05.cha, line 3697 · Peter 1;11
  12. how (a)bout a tick+tock ? PAT · eng_USA_Bloom/peter05.cha, line 3785 · Peter 1;11
  13. how (a)bout a . PAT · eng_USA_Bloom/peter05.cha, line 3787 · Peter 1;11
  14. how many wheels do you have [= four] ? LOI · eng_USA_Bloom/peter05.cha, line 3829 · Peter 1;11
  15. how many wheels are there ? LOI · eng_USA_Bloom/peter05.cha, line 4289 · Peter 1;11
  1. CHIxxx # aah ?
    CHIopen # close it .
    LOI*LOI: you closed it yeah # well how're you gonna get the screwdriver now ?
    CHIyyy screwdriver # put back .
    LOIput it back ?
  2. CHII put back .
    LOIoh # you're gonna put it back ?
    LOI*LOI: ok # well # you put the screwdriver back ## how (a)bout the lady ?
    CHIhmm .
    LOIyou gonna put the lady back ?
  3. LOIcars # oh # that's a new car .
    CHInew car .
    LOI*LOI: how many do you have ?
    CHItwo cars .
    LOIthat's right # you have two new cars .
  4. LOIgonna get more ?
    CHImore # get more # more .
    LOI*LOI: yeah # now how many do you have ?
    CHIxxx pont@c [!!] [= put on it] .
    LOIok # thank you # now we both have rings # Peter has a ring and Lois has ring .
  5. PATthat shows what's inside # it shows all the things you can do .
    CHIhmm .
    PAT*PAT: uhhuh # shows how you can take it apart .
    CHIbroken .
    PATmmhm # that's all the pieces all apart .
  6. CHItake out # take out .
    PATtake out ?
    PAT*PAT: how would you take it out ?
    PATwant me to put them back on now ?
    CHImore .
  7. LOIcan you ride your truck # forward ?
    CHIhmm .
    LOI*LOI: I don't know how else to say it .
    LOIyou did it .
    CHIhmm .
  8. LOIwhat should I do with it ?
    CHIget more .
    LOI*LOI: I should [/] how do I get more ?
    CHImore .
    LOIyeah # what do I have to do ?
  9. CHImore .
    LOIthat's enough # what d(o) ya have to do ?
    LOI*LOI: how do you get it off ?
    LOImy finger's stuck .
    LOII can't get my finger off !
  10. CHIoh # open # open .
    LOI0 .
    LOI*LOI: I don't know how you do it .
    LOII think you really need your teeth .
    CHIhmm .
  11. LOII think you really need your teeth .
    CHIhmm .
    LOI*LOI: I don't how you got that one off .
    CHIbig xxx # xxx um [?] .
    LOII can't do it # I'm sorry .
  12. LOIoh would you like # a wristwatch ?
    CHIwristwatch .
    PAT*PAT: how (a)bout a tick+tock ?
    PAThow (a)bout a .
    LOIdump truck # here # you can wear this around your wrist .
  13. CHIwristwatch .
    PAThow (a)bout a tick+tock ?
    PAT*PAT: how (a)bout a .
    LOIdump truck # here # you can wear this around your wrist .
    CHIhmm .
  14. LOII taught you a new game .
    CHIxxx .
    LOI*LOI: how many wheels do you have [= four] ?
    CHItwo wheels .
    LOItwo wheels !
  15. LOIthey're all on the table [= wheels] .
    CHIhmm .
    LOI*LOI: how many wheels are there ?
    CHIbig # tall # tower .
    LOIbig tall tower .

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. Peter eng_USA_Bloom2.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/peter05.chaPeter 1;11.175,42915152.76

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. how15 · 100.0%