PHPCLANCHILDES with regular expressions

23 matches in 22 utterances

5.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (965 utterances, 4,204 words searched).

  1. <it's not> [//] it looks like a zebra to me . INV · eng_USA_Valian/18a.cha, line 57 · 18A 2;05
  2. how (a)bout like this [% inv sets the elephant right] ? INV · eng_USA_Valian/18a.cha, line 147 · 18A 2;05
  3. it goes around like that . MOT · eng_USA_Valian/18a.cha, line 327 · 18A 2;05
  4. squeak, squeak, like that ? MOT · eng_USA_Valian/18a.cha, line 367 · 18A 2;05
  5. looks like a collie . INV · eng_USA_Valian/18a.cha, line 511 · 18A 2;05
  6. like that . INV · eng_USA_Valian/18a.cha, line 546 · 18A 2;05
  7. looks like a fish, doesn't it ? INV · eng_USA_Valian/18a.cha, line 684 · 18A 2;05
  8. is that a lot like this lion ? INV · eng_USA_Valian/18a.cha, line 736 · 18A 2;05
  9. I think it looks a lot like this horse, see ? INV · eng_USA_Valian/18a.cha, line 996 · 18A 2;05
  10. do you think one of the animals would like to have you read him a book ? MOT · eng_USA_Valian/18a.cha, line 1086 · 18A 2;05
  11. did Goldilocks wear a hat like that ? INV · eng_USA_Valian/18a.cha, line 1129 · 18A 2;05
  12. did Goldilocks have a nose like that ? MOT · eng_USA_Valian/18a.cha, line 1131 · 18A 2;05
  13. what toy would you like to play with if we went home ? MOT · eng_USA_Valian/18a.cha, line 1565 · 18A 2;05
  14. what does he like to do ? INV · eng_USA_Valian/18a.cha, line 1635 · 18A 2;05
  15. looks like a tail to me . INV · eng_USA_Valian/18a.cha, line 1647 · 18A 2;05
  16. like, like this . INV · eng_USA_Valian/18a.cha, line 2038 · 18A 2;05
  17. like, like this . INV · eng_USA_Valian/18a.cha, line 2038 · 18A 2;05
  18. like this . INV · eng_USA_Valian/18a.cha, line 2390 · 18A 2;05
  19. looks like paste . INV · eng_USA_Valian/18a.cha, line 2588 · 18A 2;05
  20. do you like to lose your toys ? MOT · eng_USA_Valian/18a.cha, line 2681 · 18A 2;05
  21. make him roar like a nickel ! MOT · eng_USA_Valian/18a.cha, line 2825 · 18A 2;05
  22. what would you like to play with ? MOT · eng_USA_Valian/18a.cha, line 2836 · 18A 2;05
  23. it looks a little like sand but that's your cousin Investigator . MOT · eng_USA_Valian/18a.cha, line 3117 · 18A 2;05
  1. MOTyeah .
    MOTwhat do you +...
    INV*INV: <it's not> [//] it looks like a zebra to me .
    INVis that a zebra or a horse ?
    CHIuh .
  2. CHIhe, he does [=? goes] he, he, he always fall down .
    MOThe always falls down, huh .
    INV*INV: how (a)bout like this [% inv sets the elephant right] ?
    CHI0 [=! laughs] .
    MOTright .
  3. MOTwhat does that do ?
    MOTwell, that's right .
    MOT*MOT: it goes around like that .
    MOTdo you know what that is ?
    CHIyeah .
  4. MOTwhat do pigs really say ?
    CHIum [% she squeaks it again] .
    MOT*MOT: squeak, squeak, like that ?
    CHIyeah .
    MOTChild, which one, which ones of all those are animals ?
  5. CHIthat a doggy ?
    MOTmmm .
    INV*INV: looks like a collie .
    INVI thought it was a lion when I took it out .
    MOTyeah, so did I .
  6. INVhere, look at this .
    INVput it on there and pull up .
    INV*INV: like that .
    MOTthat's right .
    INVyeah .
  7. INVis that a fish ?
    CHIno .
    INV*INV: looks like a fish, doesn't it ?
    CHIno .
    CHII, I can tell it's not a fish .
  8. INVThe_beautiful_lion ?
    CHIxxx .
    INV*INV: is that a lot like this lion ?
    CHIno !
    CHIit a book .
  9. CHIyeah .
    MOTI think it's a horse .
    INV*INV: I think it looks a lot like this horse, see ?
    MOTmm hmm .
    MOTdo you know the difference between horses and zebras ?
  10. MOTthat's an awful lot !
    MOTyou counted them .
    MOT*MOT: do you think one of the animals would like to have you read him a book ?
    CHIyeah .
    MOTno ?
  11. CHIyeah .
    MOTno .
    INV*INV: did Goldilocks wear a hat like that ?
    MOTdid Goldilocks have a nose like that ?
    CHIno !
  12. MOTno .
    INVdid Goldilocks wear a hat like that ?
    MOT*MOT: did Goldilocks have a nose like that ?
    CHIno !
    CHIlet me find Goldilocks .
  13. MOTwhat's your favorite toy at home ?
    CHII don't know ?
    MOT*MOT: what toy would you like to play with if we went home ?
    CHII don't know .
    MOToh .
  14. INVwhat does he say ?
    CHIwoof, woof [=! laughter] .
    INV*INV: what does he like to do ?
    CHIdo, do, does live there ?
    INVdoes he ?
  15. INVwhat's that ?
    CHItail .
    INV*INV: looks like a tail to me .
    CHIxxx .
    CHIdoes my beebee have a tail [=! laughter] ?
  16. INVyou try it .
    INVyou pick them up and put them down .
    INV*INV: like, like this .
    MOTnow, what were you gonna do ?
    MOTwhat did you do ?
  17. INVno, I don't [=! laughter] .
    CHIxxx this ?
    INV*INV: like this .
    INVit's the same shape, right ?
    CHIxxx [=! laughter] .
  18. MOTdid you have yogurt for lunch ?
    CHIyeah .
    INV*INV: looks like paste .
    MOTthere .
    MOT# Child, now what are you doing ?
  19. CHIyeah .
    MOTbecause they're Investigator's toy and he doesn't want to lose them .
    MOT*MOT: do you like to lose your toys ?
    CHIno .
    CHImm .
  20. CHIum .
    CHImake him roar like a nickel [=! laughter] .
    MOT*MOT: make him roar like a nickel !
    MOTlet's look at Investigator's toys .
    INVnow, what are those, Child ?
  21. INV[- whispering] why are you whispering ?
    CHI0 [=! giggle] .
    MOT*MOT: what would you like to play with ?
    MOTshall we play with your doll+house and your farm ?
    MOTshall we do that ?
  22. MOTno .
    MOTsand is much smaller than that .
    MOT*MOT: it looks a little like sand but that's your cousin Investigator .
    MOTxxx sand, that's sand .
    INVthat's sand .

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. 18A eng_USA_Valian5.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/18a.cha18A 2;5.4,20422235.47

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. like23 · 100.0%