PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

7.04 per 1,000 words of the child (CHI), in 1 of 1 transcripts (254 utterances, 852 words searched).

  1. but we [?] say [?] . CHI · eng_USA_Brown/sarah112.cha, line 135 · Sarah 4;06
  2. we buried him xxx . CHI · eng_USA_Brown/sarah112.cha, line 1134 · Sarah 4;06
  3. we buried him . CHI · eng_USA_Brown/sarah112.cha, line 1138 · Sarah 4;06
  4. yes we do . CHI · eng_USA_Brown/sarah112.cha, line 1222 · Sarah 4;06
  5. could we have these ? CHI · eng_USA_Brown/sarah112.cha, line 1324 · Sarah 4;06
  6. can we have those ? CHI · eng_USA_Brown/sarah112.cha, line 1328 · Sarah 4;06
  1. eng_USA_Brown/sarah112.cha, line 135 · Sarah, 4;6.05
    MOTif she plays with matches she'll get dead .
    GAIchildren aren't supposed to play with matches # are they ?
    CHI*CHI: but we [?] say [?] .
    CHImy daddy's on the fireman (de)partment .
    CHIif someone # burned a car +...
  2. eng_USA_Brown/sarah112.cha, line 1134 · Sarah, 4;6.05
    CHI0 .
    MOTwhat happened to Danny Thomas ?
    CHI*CHI: we buried him xxx .
    GAIpardon ?
    CHIwe buried him .
  3. eng_USA_Brown/sarah112.cha, line 1138 · Sarah, 4;6.05
    CHIwe buried him xxx .
    GAIpardon ?
    CHI*CHI: we buried him .
    GAIwhere ?
    CHIout that way .
  4. eng_USA_Brown/sarah112.cha, line 1222 · Sarah, 4;6.05
    CHII know it .
    MOTI don't think we have any crackers # have we ?
    CHI*CHI: yes we do .
    MOTdo we ?
    CHIhere's some .
  5. eng_USA_Brown/sarah112.cha, line 1324 · Sarah, 4;6.05
    CHI(be)cause that was no good .
    CHIxxx .
    CHI*CHI: could we have these ?
    MOTwhat ?
    CHIcan we have those ?
  6. eng_USA_Brown/sarah112.cha, line 1328 · Sarah, 4;6.05
    CHIcould we have these ?
    MOTwhat ?
    CHI*CHI: can we have those ?
    CHIMommy # I like crackers on cheese .
    CHIcan I have crackers on cheese ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown7.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah112.chaSarah 4;6.05852667.04

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%