PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (504 utterances, 1,851 words searched).

  1. we spent all the other day dressing all your dollies # huh ? MOT · eng_USA_Brown/sarah037.cha, line 251 · Sarah 2;11
  2. yeah we had lots of fun . MOT · eng_USA_Brown/sarah037.cha, line 254 · Sarah 2;11
  3. haven't we got some curlers somewhere ? MOT · eng_USA_Brown/sarah037.cha, line 328 · Sarah 2;11
  4. we can only do that on the big horsies # honey . MOT · eng_USA_Brown/sarah037.cha, line 1275 · Sarah 2;11
  5. we did a what ? FAT · eng_USA_Brown/sarah037.cha, line 2216 · Sarah 2;11
  6. we did a trick . FAT · eng_USA_Brown/sarah037.cha, line 2221 · Sarah 2;11
  1. eng_USA_Brown/sarah037.cha, line 251 · Sarah, 2;11.17
    MOTtry and get it all in knots # you got everything apart .
    CHIum .
    MOT*MOT: we spent all the other day dressing all your dollies # huh ?
    MOTyeah we had lots of fun .
    CHIum .
  2. eng_USA_Brown/sarah037.cha, line 254 · Sarah, 2;11.17
    CHIum .
    MOTwe spent all the other day dressing all your dollies # huh ?
    MOT*MOT: yeah we had lots of fun .
    CHIum .
    MOTwhat're you trying to do # take her clothes off again ?
  3. eng_USA_Brown/sarah037.cha, line 328 · Sarah, 2;11.17
    MOTput the curlers in it ?
    CHIonce .
    MOT*MOT: haven't we got some curlers somewhere ?
    MOTwhere's all your curlers ?
    MOTwant to put curls in ?
  4. eng_USA_Brown/sarah037.cha, line 1275 · Sarah, 2;11.17
    MOTwhat way ?
    CHIdat way .
    MOT*MOT: we can only do that on the big horsies # honey .
    CHIyou do dis one .
    MOTI can't # honey .
  5. eng_USA_Brown/sarah037.cha, line 2216 · Sarah, 2;11.17
    FATyou like that huh .
    COUwhat did Daddy do ?
    FAT*FAT: we did a what ?
    CHIyyy # did a what ?
    FATwe did a trick .
  6. eng_USA_Brown/sarah037.cha, line 2221 · Sarah, 2;11.17
    FATwe did a what ?
    CHIyyy # did a what ?
    FAT*FAT: we did a trick .
    CHItrick .
    CHIsay (a)gain .

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_Brown3.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah037.chaSarah 2;11.171,851663.24

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. we6 · 100.0%