PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. whyn't [: why don't] you just play with your babies today instead of riding Poor_Pony ? MOT · eng_USA_Brown/sarah011.cha, line 198 · Sarah 2;04
  2. you'll get everything all fouled up here now with the babies . MOT · eng_USA_Brown/sarah011.cha, line 204 · Sarah 2;04
  3. yeah # you went with Jo_Ann # but where'd we go ? MOT · eng_USA_Brown/sarah011.cha, line 282 · Sarah 2;04
  4. you know what happens with Mike . MOT · eng_USA_Brown/sarah011.cha, line 307 · Sarah 2;04
  5. yeah # it's a big dollie and you can't play with it . MOT · eng_USA_Brown/sarah011.cha, line 754 · Sarah 2;04
  1. eng_USA_Brown/sarah011.cha, line 198 · Sarah, 2;4.26
    CHIxxx .
    CHIPoor_Po(n)y .
    MOT*MOT: whyn't [: why don't] you just play with your babies today instead of riding Poor_Pony ?
    CHIxxx .
    MOTyou'll get everything all fouled up here now with the babies .
  2. eng_USA_Brown/sarah011.cha, line 204 · Sarah, 2;4.26
    MOTwhyn't [: why don't] you just play with your babies today instead of riding Poor_Pony ?
    CHIxxx .
    MOT*MOT: you'll get everything all fouled up here now with the babies .
    CHI0 .
    MOT0 .
  3. eng_USA_Brown/sarah011.cha, line 282 · Sarah, 2;4.26
    MOTwhere'd you go yesterday # Sarah ?
    CHIa Jo_Ann .
    MOT*MOT: yeah # you went with Jo_Ann # but where'd we go ?
    MOTwho did we see yesterday ?
    CHIxxx .
  4. eng_USA_Brown/sarah011.cha, line 307 · Sarah, 2;4.26
    CHIxxx my ball .
    MOTno # put the ball back .
    MOT*MOT: you know what happens with Mike .
    MOTtwo of you start fooling # and # bingo .
    MOTjingo@b .
  5. eng_USA_Brown/sarah011.cha, line 754 · Sarah, 2;4.26
    MOTxxx ?
    CHIbi(g) do(ll)y .
    MOT*MOT: yeah # it's a big dollie and you can't play with it .
    CHIxxx .
    MOTno [/] # no .

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_Brown5.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah011.chaSarah 2;4.26845555.92

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. with5 · 100.0%