PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

8.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (221 utterances, 845 words searched).

  1. you're not supposed to sit on it . MOT · eng_USA_Brown/sarah011.cha, line 429 · Sarah 2;04
  2. in the crib # not in the carriage . MOT · eng_USA_Brown/sarah011.cha, line 537 · Sarah 2;04
  3. Daddy's not home # Daddy's at work . MOT · eng_USA_Brown/sarah011.cha, line 575 · Sarah 2;04
  4. no # you're not supposed to touch then # no . MOT · eng_USA_Brown/sarah011.cha, line 943 · Sarah 2;04
  5. no # that's not your dollie # that's my dollie . MOT · eng_USA_Brown/sarah011.cha, line 1011 · Sarah 2;04
  6. that's not nice . MOT · eng_USA_Brown/sarah011.cha, line 1103 · Sarah 2;04
  7. your baby's not gone # she's right there . MOT · eng_USA_Brown/sarah011.cha, line 1127 · Sarah 2;04
  1. MOTyou'll break it # though # if you don't stay off of it .
    CHIyyy .
    MOT*MOT: you're not supposed to sit on it .
    CHIxxx .
    CHIxxx here .
  2. CHIxxx .
    MOTput it back nice .
    MOT*MOT: in the crib # not in the carriage .
    CHItoo hea(v)y .
    MOTyeah # you're too heavy # you're going to get a little +...
  3. MOThuh ?
    CHIDa(dd)y home .
    MOT*MOT: Daddy's not home # Daddy's at work .
    CHIwork .
    CHIread book .
  4. CHInot .
    CHInot .
    MOT*MOT: no # you're not supposed to touch then # no .
    CHI0 .
    MOTxxx # what'd I just say to you ?
  5. CHIxxx .
    CHIxxx do(ll)y ?
    MOT*MOT: no # that's not your dollie # that's my dollie .
    CHIyour do(ll)y ?
    MOTmany dollies .
  6. MOTsing it nice .
    CHI0 .
    MOT*MOT: that's not nice .
    MOTwant the baby to cry ?
    MOThuh ?
  7. CHIxxx cook [?] .
    CHIbaby gone .
    MOT*MOT: your baby's not gone # she's right there .
    CHIdere ?
    MOTright there .

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_Brown8.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah011.chaSarah 2;4.26845778.28

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. not7 · 100.0%