PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (219 utterances, 877 words searched).

  1. I got ta call Grampy . MOT · eng_USA_Brown/sarah134.cha, line 147 · Sarah 5;00
  2. I'll call Grampy . MOT · eng_USA_Brown/sarah134.cha, line 257 · Sarah 5;00
  3. oh # I thought you were through . MOT · eng_USA_Brown/sarah134.cha, line 488 · Sarah 5;00
  4. I wonder how sometimes how they think think up +... MOT · eng_USA_Brown/sarah134.cha, line 504 · Sarah 5;00
  5. yes # if I have two and one # how much is it ? GAI · eng_USA_Brown/sarah134.cha, line 579 · Sarah 5;00
  6. yeah # I guess so . MOT · eng_USA_Brown/sarah134.cha, line 681 · Sarah 5;00
  7. it's gonna fall down # I know . MOT · eng_USA_Brown/sarah134.cha, line 825 · Sarah 5;00
  1. MOTsee ?
    MOTput it up here (be)cause you xxx .
    MOT*MOT: I got ta call Grampy .
    CHIwhat ?
    MOTisn't that nice # huh ?
  2. CHIhey # there's two fours !
    MOTyeah .
    MOT*MOT: I'll call Grampy .
    GAIwhat are ya doing ?
    CHIputting this on .
  3. CHInot a thing in there .
    CHII wanna use em .
    MOT*MOT: oh # I thought you were through .
    CHIno .
    MOTsorry .
  4. CHIhey # remember that I hanged em on like dat ?
    MOTthat's clever # though .
    MOT*MOT: I wonder how sometimes how they think think up +...
    GAImmhm .
    MOTy(ou) know ?
  5. CHIthis go .
    CHIon # there # this end ?
    GAI*GAI: yes # if I have two and one # how much is it ?
    CHIthree .
    GAIright .
  6. MOTif the arrow points there # it's wrong .
    CHIdid I drop one ?
    MOT*MOT: yeah # I guess so .
    CHIthree # yeah .
    MOTpick it up .
  7. MOTwhat do you think is gonna happen ?
    CHII think it's gonna happen fall down .
    MOT*MOT: it's gonna fall down # I know .
    CHIhey dis is a tiny six .
    CHIMommy # is dis a six # tiny six ?

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_Brown7.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah134.chaSarah 5;0.02877777.98

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. i7 · 100.0%