PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,422 words searched).

  1. huh ? MOT · eng_USA_Brown/sarah045.cha, line 203 · Sarah 3;01
  2. huh ? MOT · eng_USA_Brown/sarah045.cha, line 230 · Sarah 3;01
  3. stay inside the lines # huh . MOT · eng_USA_Brown/sarah045.cha, line 656 · Sarah 3;01
  4. huh ? MOT · eng_USA_Brown/sarah045.cha, line 1215 · Sarah 3;01
  5. huh ? MOT · eng_USA_Brown/sarah045.cha, line 1399 · Sarah 3;01
  1. MOTI bought you somethin(g) here yyy .
    MOTwhat is it ?
    MOT*MOT: huh ?
    CHIum .
    CHImmhm .
  2. MOT<wha(t) tha(t)> [//] # <wha(t)> [/] wha(t)'d I buy ?
    CHIhow yyy ?
    MOT*MOT: huh ?
    CHIcrayons .
    MOTno # did you buy crayons ?
  3. CHIMommy # you he(l)p do this +...
    CHIhow do dis .
    MOT*MOT: stay inside the lines # huh .
    CHIxxx .
    MOTI can't ?
  4. MOTwhat's your Daddy's name ?
    CHII don('t) know .
    MOT*MOT: huh ?
    CHII don't know .
    MOToh .
  5. MOThow's that taste ?
    MOTdoes that taste like orange ?
    MOT*MOT: huh ?
    MOTthat's lemon and lime .
    CHIyeah # lemon (a)n(d) lime .

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_Brown3.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah045.chaSarah 3;1.171,422553.52

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. huh5 · 100.0%