PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (321 utterances, 1,034 words searched).

  1. that's a big doggie . MOT · eng_USA_Brown/sarah006.cha, line 1029 · Sarah 2;03
  2. Inkie's a little doggie and Sheeba's a big doggie . MOT · eng_USA_Brown/sarah006.cha, line 1057 · Sarah 2;03
  3. and Sheeba's a big doggie . MOT · eng_USA_Brown/sarah006.cha, line 1062 · Sarah 2;03
  4. <and Can(dy)> [//] Sheeba and Candy are big doggies . MOT · eng_USA_Brown/sarah006.cha, line 1066 · Sarah 2;03
  5. that's the big doggie # and there's the little doggie . MOT · eng_USA_Brown/sarah006.cha, line 1079 · Sarah 2;03
  6. yeah # you got a big doggie . MOT · eng_USA_Brown/sarah006.cha, line 1084 · Sarah 2;03
  7. your dog # you got a big doggie . MOT · eng_USA_Brown/sarah006.cha, line 1269 · Sarah 2;03
  1. CHIxxx doggie ?
    MOTyeah # and what's this one ?
    MOT*MOT: that's a big doggie .
    CHIbig doggie ?
    MOTand that's a little doggie .
  2. MOTyeah # it's like <Nana's> [/] Nana's doggie's little # huh .
    MOTInky .
    MOT*MOT: Inkie's a little doggie and Sheeba's a big doggie .
    CHIxxx doggie ?
    MOTand Sheeba's a big doggie .
  3. MOTInkie's a little doggie and Sheeba's a big doggie .
    CHIxxx doggie ?
    MOT*MOT: and Sheeba's a big doggie .
    CHIxxx .
    MOT<and Can(dy)> [//] Sheeba and Candy are big doggies .
  4. MOTand Sheeba's a big doggie .
    CHIxxx .
    MOT*MOT: <and Can(dy)> [//] Sheeba and Candy are big doggies .
    CHIhmm ?
    MOTum .
  5. CHIxxx doggie ?
    MOTum .
    MOT*MOT: that's the big doggie # and there's the little doggie .
    CHIxxx doggie .
    MOTyeah # you got a big doggie .
  6. MOTthat's the big doggie # and there's the little doggie .
    CHIxxx doggie .
    MOT*MOT: yeah # you got a big doggie .
    CHIxxx .
    CHIxxx .
  7. MOTwell come out here so you +/.
    CHImy dog .
    MOT*MOT: your dog # you got a big doggie .
    MOT<did ya tell> [//] oh # you didn't tell them about the little kittys that were here Monday .
    MOTthe two kittys that Auntie Pat brought ?

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_Brown6.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah006.chaSarah 2;3.281,034776.77

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. big7 · 100.0%