PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

6.48 per 1,000 words of the child (CHI), in 1 of 1 transcripts (257 utterances, 926 words searched).

  1. that means you have to # you want a zero ? CHI · eng_USA_Brown/sarah136.cha, line 59 · Sarah 5;00
  2. you have x@l . CHI · eng_USA_Brown/sarah136.cha, line 66 · Sarah 5;00
  3. now you have to go in there . CHI · eng_USA_Brown/sarah136.cha, line 129 · Sarah 5;00
  4. come on # you # you have to . CHI · eng_USA_Brown/sarah136.cha, line 159 · Sarah 5;00
  5. I have to study . CHI · eng_USA_Brown/sarah136.cha, line 834 · Sarah 5;00
  6. do I have curly hair ? CHI · eng_USA_Brown/sarah136.cha, line 952 · Sarah 5;00
  1. GAIwhich do you want ?
    CHIyou go first .
    CHI*CHI: that means you have to # you want a zero ?
    GAIoh ok # I'll take zero .
    CHII # I [/] want zero .
  2. GAIoh ok # I'll take zero .
    CHII # I [/] want zero .
    CHI*CHI: you have x@l .
    GAIwhat ?
    CHII want zero # I said .
  3. CHIxxx .
    CHIbut only if you get dat one out .
    CHI*CHI: now you have to go in there .
    CHIyou'll win .
    GAII will win ?
  4. MOTsomeone has to what ?
    CHIsomeone has to put it in there .
    CHI*CHI: come on # you # you have to .
    CHII won .
    GAIyou did ?
  5. CHII don't know .
    MOTwhat do you think kids do in school ?
    CHI*CHI: I have to study .
    MOTyou have to study ?
    CHIyeah .
  6. MOTxxx .
    MOTI xxx with curly hair .
    CHI*CHI: do I have curly hair ?
    MOTeveryday I'm gonna have to put your hair in curlers .
    MOTevery night before you go to bed .

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_Brown6.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah136.chaSarah 5;0.16926666.48

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. have6 · 100.0%