PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

6.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (388 utterances, 1,399 words searched).

  1. like that . MOT · eng_USA_Brown/sarah032.cha, line 142 · Sarah 2;10
  2. that doggie looks like Tramp # uhhuh . MOT · eng_USA_Brown/sarah032.cha, line 385 · Sarah 2;10
  3. you look like an orphan . MOT · eng_USA_Brown/sarah032.cha, line 417 · Sarah 2;10
  4. oh # like this ? MOT · eng_USA_Brown/sarah032.cha, line 784 · Sarah 2;10
  5. would you like a big piece of paper to write on ? COU · eng_USA_Brown/sarah032.cha, line 1213 · Sarah 2;10
  6. oh # like dis # uhhuh . MOT · eng_USA_Brown/sarah032.cha, line 1295 · Sarah 2;10
  7. you like to draw ? MOT · eng_USA_Brown/sarah032.cha, line 1339 · Sarah 2;10
  8. like to make pictures ? MOT · eng_USA_Brown/sarah032.cha, line 1341 · Sarah 2;10
  9. do you like to draw # pictures ? MOT · eng_USA_Brown/sarah032.cha, line 1487 · Sarah 2;10
  1. eng_USA_Brown/sarah032.cha, line 142 · Sarah, 2;10.05
    MOTthat's it .
    MOTthere # now you hold on to this end .
    MOT*MOT: like that .
    MOTnow you pull this back .
    MOTgood .
  2. eng_USA_Brown/sarah032.cha, line 385 · Sarah, 2;10.05
    CHII want to see him .
    MOTthat's a cute little dog .
    MOT*MOT: that doggie looks like Tramp # uhhuh .
    CHImmhm [/] # mmhm .
    CHIno he isn't .
  3. eng_USA_Brown/sarah032.cha, line 417 · Sarah, 2;10.05
    MOTyou fix that ?
    MOTknow what ?
    MOT*MOT: you look like an orphan .
    MOTyou know what an orphan is ?
    MOThmm ?
  4. eng_USA_Brown/sarah032.cha, line 784 · Sarah, 2;10.05
    MOTwhat ?
    CHIlike dis .
    MOT*MOT: oh # like this ?
    MOThow's that ?
    CHIow .
  5. eng_USA_Brown/sarah032.cha, line 1213 · Sarah, 2;10.05
    COUSarah .
    CHIwhat ?
    COU*COU: would you like a big piece of paper to write on ?
    MOTwhat do you say ?
    CHIplease Courtney .
  6. eng_USA_Brown/sarah032.cha, line 1295 · Sarah, 2;10.05
    MOTwhat's a faum@c ?
    CHIright dere .
    MOT*MOT: oh # like dis # uhhuh .
    CHIsee faum@c [?] right dere ?
    MOTwhat's that ?
  7. eng_USA_Brown/sarah032.cha, line 1339 · Sarah, 2;10.05
    CHII write dat # huh ?
    MOTyeah .
    MOT*MOT: you like to draw ?
    MOTlike to make pictures ?
    CHIyeah .
  8. eng_USA_Brown/sarah032.cha, line 1341 · Sarah, 2;10.05
    MOTyeah .
    MOTyou like to draw ?
    MOT*MOT: like to make pictures ?
    CHIyeah .
    CHImake picture(s) .
  9. eng_USA_Brown/sarah032.cha, line 1487 · Sarah, 2;10.05
    CHIright dere .
    MOToh .
    MOT*MOT: do you like to draw # pictures ?
    CHI0 .
    MOTwhyn't [: why don't] you write your name ?

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_Brown6.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah032.chaSarah 2;10.051,399996.43

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. like9 · 100.0%