PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

9.03 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (348 utterances, 1,551 words searched).

  1. Sarah # would you like to see how Bugs writes ? MOT · eng_USA_Brown/sarah052.cha, line 27 · Sarah 3;03
  2. he said that Sarah scribbles . KEN · eng_USA_Brown/sarah052.cha, line 171 · Sarah 3;03
  3. Sarah # what's that on the back xxx ? KEN · eng_USA_Brown/sarah052.cha, line 215 · Sarah 3;03
  4. Sarah . KEN · eng_USA_Brown/sarah052.cha, line 265 · Sarah 3;03
  5. Sarah . KEN · eng_USA_Brown/sarah052.cha, line 274 · Sarah 3;03
  6. Sarah . KEN · eng_USA_Brown/sarah052.cha, line 654 · Sarah 3;03
  7. Sarah . KEN · eng_USA_Brown/sarah052.cha, line 742 · Sarah 3;03
  8. Sarah . MOT · eng_USA_Brown/sarah052.cha, line 850 · Sarah 3;03
  9. Sarah . KEN · eng_USA_Brown/sarah052.cha, line 857 · Sarah 3;03
  10. Sarah . KEN · eng_USA_Brown/sarah052.cha, line 863 · Sarah 3;03
  11. Sarah . KEN · eng_USA_Brown/sarah052.cha, line 865 · Sarah 3;03
  12. Sarah look who's out here . MOT · eng_USA_Brown/sarah052.cha, line 881 · Sarah 3;03
  13. Sarah ? KEN · eng_USA_Brown/sarah052.cha, line 1002 · Sarah 3;03
  14. Sarah . KEN · eng_USA_Brown/sarah052.cha, line 1014 · Sarah 3;03
  1. eng_USA_Brown/sarah052.cha, line 27 · Sarah, 3;3.07
    MOTsee .
    MOTnow try it .
    MOT*MOT: Sarah # would you like to see how Bugs writes ?
    CHIyep .
    MOThe uses his carrot .
  2. eng_USA_Brown/sarah052.cha, line 171 · Sarah, 3;3.07
    KENknow what Bugs said ?
    CHIwhat ?
    KEN*KEN: he said that Sarah scribbles .
    KENwhy did you say that ?
    KENyou know what .
  3. eng_USA_Brown/sarah052.cha, line 215 · Sarah, 3;3.07
    CHII draw a picture a you .
    CHII draw a # picture # uh a you .
    KEN*KEN: Sarah # what's that on the back xxx ?
    MOTya get a scratch ?
    CHIhuh ?
  4. eng_USA_Brown/sarah052.cha, line 265 · Sarah, 3;3.07
    MOTdon't you wri(te) # hey !
    MOTspooks .
    KEN*KEN: Sarah .
    CHIwhat ?
    KENBugs asked me if he could have a conversation with Millisandy .
  5. eng_USA_Brown/sarah052.cha, line 274 · Sarah, 3;3.07
    KENBugs asked me if he could have a conversation with Millisandy .
    CHIhuh ?
    KEN*KEN: Sarah .
    CHIwhat ?
    KENI want to talk to Millisandy .
  6. eng_USA_Brown/sarah052.cha, line 654 · Sarah, 3;3.07
    CHIya see me bounce # in hall .
    CHIwhoop # see me bounce +...
    KEN*KEN: Sarah .
    CHIwhat ?
    KENcould you come and bounce the ball to me ?
  7. eng_USA_Brown/sarah052.cha, line 742 · Sarah, 3;3.07
    MOTshe's in there tryin(g) to fin(d) all kinds of excuses why she couldn't go to bed .
    CHI0 .
    KEN*KEN: Sarah .
    MOTwhat're ya doin(g) ?
    CHIhere I am .
  8. eng_USA_Brown/sarah052.cha, line 850 · Sarah, 3;3.07
    MOTyou always go out .
    MOTwho do ya play with ?
    MOT*MOT: Sarah .
    CHIwhat ?
    MOTcome here .
  9. eng_USA_Brown/sarah052.cha, line 857 · Sarah, 3;3.07
    CHIwhat ?
    MOTcome here .
    KEN*KEN: Sarah .
    CHIbeep@o [/] # beep@o .
    CHIhope uh # hide .
  10. eng_USA_Brown/sarah052.cha, line 863 · Sarah, 3;3.07
    CHIbeep@o [/] # beep@o .
    CHIhope uh # hide .
    KEN*KEN: Sarah .
    KENSarah .
    KENMr Ears is just about to eat your fruit+loops .
  11. eng_USA_Brown/sarah052.cha, line 865 · Sarah, 3;3.07
    CHIhope uh # hide .
    KENSarah .
    KEN*KEN: Sarah .
    KENMr Ears is just about to eat your fruit+loops .
    CHIhuh ?
  12. eng_USA_Brown/sarah052.cha, line 881 · Sarah, 3;3.07
    CHIaah # tha(t)'s mine .
    KENsays Mr Ears .
    MOT*MOT: Sarah look who's out here .
    CHIwho ?
    MOTAuntie Elenore # look .
  13. eng_USA_Brown/sarah052.cha, line 1002 · Sarah, 3;3.07
    CHImine xxx .
    MOTshe was xxx week .
    KEN*KEN: Sarah ?
    CHIwhat ?
    KENMr Ears is tryin(g) to get those Loop_loops again .
  14. eng_USA_Brown/sarah052.cha, line 1014 · Sarah, 3;3.07
    KENMr Ears is tryin(g) to get those Loop_loops again .
    CHIEars is tryin(g) to get those Loop_loops again .
    KEN*KEN: Sarah .
    CHIwhat ?
    KENcould you come here and talk with Mr Ears for a minute ?

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. Sarah eng_USA_Brown9.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah052.chaSarah 3;3.071,55114149.03

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. sarah14 · 100.0%