PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

7.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (469 utterances, 1,930 words searched).

  1. do you want to see what I have ? MOT · eng_USA_Brown/adam01.cha, line 204 · Adam 2;03
  2. if you look out the other window maybe you'll see it . MOT · eng_USA_Brown/adam01.cha, line 432 · Adam 2;03
  3. did you see the truck ? MOT · eng_USA_Brown/adam01.cha, line 439 · Adam 2;03
  4. no # you didn't see it . MOT · eng_USA_Brown/adam01.cha, line 444 · Adam 2;03
  5. I guess she might like to see that . MOT · eng_USA_Brown/adam01.cha, line 516 · Adam 2;03
  6. do you want to see this ? URS · eng_USA_Brown/adam01.cha, line 633 · Adam 2;03
  7. see there are no pictures . MOT · eng_USA_Brown/adam01.cha, line 1019 · Adam 2;03
  8. how can he see to deliver mail ? MOT · eng_USA_Brown/adam01.cha, line 1677 · Adam 2;03
  9. let's see if there are any pictures in this book . MOT · eng_USA_Brown/adam01.cha, line 1811 · Adam 2;03
  10. what do you see in there ? MOT · eng_USA_Brown/adam01.cha, line 1977 · Adam 2;03
  11. did you see the sun ? MOT · eng_USA_Brown/adam01.cha, line 2221 · Adam 2;03
  12. what did you see in the park this morning ? MOT · eng_USA_Brown/adam01.cha, line 2379 · Adam 2;03
  13. I can't see . MOT · eng_USA_Brown/adam01.cha, line 2904 · Adam 2;03
  14. no # I can't see . MOT · eng_USA_Brown/adam01.cha, line 2914 · Adam 2;03
  15. let's see . MOT · eng_USA_Brown/adam01.cha, line 3215 · Adam 2;03
  1. CHIwater # Mommy .
    CHIMott apple juice .
    MOT*MOT: do you want to see what I have ?
    CHIwho (th)at ?
    CHIwho (th)at ?
  2. MOThear a tractor ?
    MOTno I think that's a truck .
    MOT*MOT: if you look out the other window maybe you'll see it .
    CHIsee truck # Mommy .
    CHIsee truck .
  3. CHIsee truck # Mommy .
    CHIsee truck .
    MOT*MOT: did you see the truck ?
    CHIno I see truck .
    MOTno # you didn't see it .
  4. MOTdid you see the truck ?
    CHIno I see truck .
    MOT*MOT: no # you didn't see it .
    MOTthere goes one .
    CHIthere go one .
  5. CHImy .
    MOTdo you know what those are ?
    MOT*MOT: I guess she might like to see that .
    CHII [?] like [?] see that .
    CHIalright see that !
  6. CHIoh Adam belt .
    CHIhow are you # belt ?
    URS*URS: do you want to see this ?
    CHIyep .
    CHIop(en) .
  7. CHIbook boy .
    MOTthat's not really a boy's book .
    MOT*MOT: see there are no pictures .
    CHIpictures in (th)ere ?
    CHIShadow .
  8. CHImailman .
    MOTlet's put the poor mailman's head back on .
    MOT*MOT: how can he see to deliver mail ?
    CHIman .
    MOTwhat are you doing ?
  9. CHIlike Adam bookshelf .
    CHIAdam book .
    MOT*MOT: let's see if there are any pictures in this book .
    CHIno pictures in nere [: here] .
    CHIlook look look look .
  10. CHIhammer .
    CHIMommy # hammer .
    MOT*MOT: what do you see in there ?
    CHIsee in (th)ere .
    CHIbulldozer bulldozer bulldozer bulldozer bulldozer bulldozer bulldozer bulldozer bulldozer bulldozer bulldozer bulldozer bulldozer bulldozer .
  11. CHIno sunny outside .
    CHIsun sun .
    MOT*MOT: did you see the sun ?
    CHIyeah # Adam see sun .
    CHIxxx my find paper .
  12. MOTwhat is that ?
    MOTthat's a hole .
    MOT*MOT: what did you see in the park this morning ?
    CHIkitty .
    CHIkitty meow .
  13. CHIwho dat # Mommy ?
    CHIwho dat ?
    MOT*MOT: I can't see .
    CHIwho dat ?
    CHIwho dat ?
  14. CHIwho dat ?
    CHIsee # Mommy ?
    MOT*MOT: no # I can't see .
    CHIwho dat ?
    CHIBozo .
  15. MOTJohn who ?
    CHIJohn xxx .
    MOT*MOT: let's see .
    CHImy John .
    CHImy John .

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_Brown7.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam01.chaAdam 2;3.041,93015157.77

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. see15 · 100.0%