PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 1,055 words searched).

  1. it's cold # I know it . MOT · eng_USA_Brown/sarah008.cha, line 107 · Sarah 2;04
  2. yeah # I know you love your horsie . MOT · eng_USA_Brown/sarah008.cha, line 593 · Sarah 2;04
  3. I know it's too big for you . MOT · eng_USA_Brown/sarah008.cha, line 625 · Sarah 2;04
  4. I know # well # here's the little baby . MOT · eng_USA_Brown/sarah008.cha, line 652 · Sarah 2;04
  5. you know that ? MOT · eng_USA_Brown/sarah008.cha, line 834 · Sarah 2;04
  6. yeah # I know the kitty's gone # but what's the teddy+bear's name ? MOT · eng_USA_Brown/sarah008.cha, line 1137 · Sarah 2;04
  7. # I don't know what she's saying something about her dollie . MOT · eng_USA_Brown/sarah008.cha, line 1318 · Sarah 2;04
  1. MOTcome on # eat up .
    CHIxxx cold .
    MOT*MOT: it's cold # I know it .
    CHI0 .
    MOTaren't you gonna sing ?
  2. CHII ride my horsie .
    MOTyou love your horsie ?
    MOT*MOT: yeah # I know you love your horsie .
    CHIride: .
    MOTeasy [/] # easy .
  3. MOTthey're small little dollies # that's a big dollie .
    CHIbig dollie xxx .
    MOT*MOT: I know it's too big for you .
    CHIxxx .
    CHIxxx .
  4. CHItoo big me ? [+ bch]
    CHItoo big me .
    MOT*MOT: I know # well # here's the little baby .
    MOTwant to put this one on here ?
    CHIxxx .
  5. CHItwo eye .
    MOTyeah # you got two eyes # too .
    MOT*MOT: you know that ?
    CHIxxx .
    MOThow many eyes have you got ?
  6. CHIno [?] .
    CHIxxx ki(tt)y gone .
    MOT*MOT: yeah # I know the kitty's gone # but what's the teddy+bear's name ?
    CHIxxx .
    MOTxxx Andy !
  7. CHIxxx .
    MOTI'm lost .
    MOT*MOT: # I don't know what she's saying something about her dollie .
    CHImy do(ll)y .
    MOTyour dollie # yeah .

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_Brown6.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah008.chaSarah 2;4.121,055776.64

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. know7 · 100.0%