PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

8.22 per 1,000 words of the child (CHI), in 1 of 1 transcripts (254 utterances, 852 words searched).

  1. Mommy # can I put em on ? CHI · eng_USA_Brown/sarah112.cha, line 408 · Sarah 4;06
  2. Mommy # what I was lookin(g) for ? CHI · eng_USA_Brown/sarah112.cha, line 655 · Sarah 4;06
  3. Mommy # I can scribble on my books . CHI · eng_USA_Brown/sarah112.cha, line 698 · Sarah 4;06
  4. want me to make # my Mommy # or me ? CHI · eng_USA_Brown/sarah112.cha, line 782 · Sarah 4;06
  5. Mommy # here's some cheese . CHI · eng_USA_Brown/sarah112.cha, line 1204 · Sarah 4;06
  6. Mom # can I have it on these # uhhuh # Mommy ? CHI · eng_USA_Brown/sarah112.cha, line 1241 · Sarah 4;06
  7. Mommy # I like crackers on cheese . CHI · eng_USA_Brown/sarah112.cha, line 1331 · Sarah 4;06
  1. CHIc(a)n I do this too xxx .
    MOTxxx .
    CHI*CHI: Mommy # can I put em on ?
    CHIdis de right thing ?
    CHIthe right one ?
  2. CHIhi big daddy .
    MOThi big daddy ?
    CHI*CHI: Mommy # what I was lookin(g) for ?
    MOThow would I know ?
    MOTyou didn't tell me .
  3. MOTyou got plenty o(f) them to look for .
    MOTxxx your book .
    CHI*CHI: Mommy # I can scribble on my books .
    MOTno # you don't scribble on your book .
    CHIcan I scribble on my books ?
  4. CHIwell # I +...
    CHIsee ?
    CHI*CHI: want me to make # my Mommy # or me ?
    GAIwhich would you rather make ?
    CHII rather make # me !
  5. MOTno he didn't # and I forgot to tell him .
    MOTwhen we call him up # we'll tell him # alright ?
    CHI*CHI: Mommy # here's some cheese .
    MOTyeah # but that +...
    CHInot the hard one .
  6. CHII like it on those crackers .
    CHIcan one have it on these ?
    CHI*CHI: Mom # can I have it on these # uhhuh # Mommy ?
    MOTif you want it .
    CHIcan I have cheese on dese ?
  7. MOTwhat ?
    CHIcan we have those ?
    CHI*CHI: Mommy # I like crackers on cheese .
    CHIcan I have crackers on cheese ?
    GAIcrackers on cheese or cheese on crackers ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown8.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah112.chaSarah 4;6.05852778.22

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. mommy7 · 100.0%