PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

14.20 per 1,000 words of the child (CHI), in 1 of 1 transcripts (258 utterances, 634 words searched).

  1. where ? CHI · eng_USA_Brown/sarah041.cha, line 72 · Sarah 3;00
  2. where ? CHI · eng_USA_Brown/sarah041.cha, line 77 · Sarah 3;00
  3. where ? CHI · eng_USA_Brown/sarah041.cha, line 363 · Sarah 3;00
  4. where ? CHI · eng_USA_Brown/sarah041.cha, line 534 · Sarah 3;00
  5. where's anoth(er) one ? CHI · eng_USA_Brown/sarah041.cha, line 538 · Sarah 3;00
  6. where's anoth(er) one ? CHI · eng_USA_Brown/sarah041.cha, line 540 · Sarah 3;00
  7. where scissors ? CHI · eng_USA_Brown/sarah041.cha, line 895 · Sarah 3;00
  8. where's a pair of scissors ? CHI · eng_USA_Brown/sarah041.cha, line 899 · Sarah 3;00
  9. where's a top ? CHI · eng_USA_Brown/sarah041.cha, line 1050 · Sarah 3;00
  1. CHIsquare not now .
    MOTyeah # after Courtney goes we'll # get you all dressed up and go to the square # ok ?
    CHI*CHI: where ?
    MOThmm ?
    CHIwhere ?
  2. CHIwhere ?
    MOThmm ?
    CHI*CHI: where ?
    CHIxxx Courtney ?
    CHIxxx ?
  3. MOToh # great .
    MOTpick your sweater up .
    CHI*CHI: where ?
    MOTpick it up .
    MOToff the ground .
  4. MOTyeah .
    MOTxxx .
    CHI*CHI: where ?
    MOTthere !
    CHIwhere's anoth(er) one ?
  5. CHIwhere ?
    MOTthere !
    CHI*CHI: where's anoth(er) one ?
    CHIwhere's anoth(er) one ?
    MOTpoliceman !
  6. MOTthere !
    CHIwhere's anoth(er) one ?
    CHI*CHI: where's anoth(er) one ?
    MOTpoliceman !
    MOTxxx anyway .
  7. MOTI didn't bring the white one home .
    MOTnow # if I can find em .
    CHI*CHI: where scissors ?
    MOTyeah # don't worry about it .
    CHIwhere's a pair of scissors ?
  8. CHIwhere scissors ?
    MOTyeah # don't worry about it .
    CHI*CHI: where's a pair of scissors ?
    CHIyou got runny nose .
    MOTwho ?
  9. MOTno # it isn't .
    MOTit's not too big .
    CHI*CHI: where's a top ?
    CHIdis come off ?
    MOTwhere's what ?

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_Brown14.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah041.chaSarah 3;0.186349914.20

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. where9 · 100.0%