PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. you want me +... CHI · eng_USA_Brown/sarah112.cha, line 34 · Sarah 4;06
  2. and # y(ou) want me to make my daddy ? CHI · eng_USA_Brown/sarah112.cha, line 164 · Sarah 4;06
  3. I want you to sew it on . CHI · eng_USA_Brown/sarah112.cha, line 368 · Sarah 4;06
  4. I want two piece a papers . CHI · eng_USA_Brown/sarah112.cha, line 760 · Sarah 4;06
  5. want me to make # my Mommy # or me ? CHI · eng_USA_Brown/sarah112.cha, line 782 · Sarah 4;06
  6. I want it on those crackers . CHI · eng_USA_Brown/sarah112.cha, line 1235 · Sarah 4;06
  1. eng_USA_Brown/sarah112.cha, line 34 · Sarah, 4;6.05
    GAIoh # it looks like a butterfly .
    CHIsee go up # (a)n(d) down (a)n(d) up +...
    CHI*CHI: you want me +...
    GAIwhat ?
    CHIlook at dis .
  2. eng_USA_Brown/sarah112.cha, line 164 · Sarah, 4;6.05
    GAIand what does the hose do ?
    CHIhe [//] # they spray water # to take the fire out .
    CHI*CHI: and # y(ou) want me to make my daddy ?
    GAIsure .
    CHIhe has a round mouth .
  3. eng_USA_Brown/sarah112.cha, line 368 · Sarah, 4;6.05
    MOTyou have to get the ribbons sewed@n on .
    MOTyou have to get the elastic sewed@n on .
    CHI*CHI: I want you to sew it on .
    GAIwhen I come next week you'll show me # ok ?
    CHII wanna show ya # today .
  4. eng_USA_Brown/sarah112.cha, line 760 · Sarah, 4;6.05
    CHIboom .
    GAIwhat do you want ?
    CHI*CHI: I want two piece a papers .
    GAIwhy two pieces ?
    CHIbecause .
  5. eng_USA_Brown/sarah112.cha, line 782 · Sarah, 4;6.05
    CHIwell # I +...
    CHIsee ?
    CHI*CHI: want me to make # my Mommy # or me ?
    GAIwhich would you rather make ?
    CHII rather make # me !
  6. eng_USA_Brown/sarah112.cha, line 1235 · Sarah, 4;6.05
    CHIthese are crackers .
    MOTno # not on those crackers .
    CHI*CHI: I want it on those crackers .
    CHII like it on those crackers .
    CHIcan one have it on these ?

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_Brown7.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah112.chaSarah 4;6.05852667.04

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. want6 · 100.0%