PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,699 words searched).

  1. she learned not to drink it with milk ? MEL · eng_USA_Brown/sarah100.cha, line 398 · Sarah 4;03
  2. I'm not writing what these letters spell . GAI · eng_USA_Brown/sarah100.cha, line 836 · Sarah 4;03
  3. … of monkeys to work at typewriters whether sooner or later they might not type the definitive novel . MEL · eng_USA_Brown/sarah100.cha, line 851 · Sarah 4;03
  4. but if she's not gonna get anything it's <d@l e@l doo> ["] and everything else . MOT · eng_USA_Brown/sarah100.cha, line 888 · Sarah 4;03
  5. it's not bad . GAI · eng_USA_Brown/sarah100.cha, line 1064 · Sarah 4;03
  6. no # I guess not # what is it ? MOT · eng_USA_Brown/sarah100.cha, line 1157 · Sarah 4;03
  1. MOTeven my cousin .
    MOTshe moved out to California right after she got married .
    MEL*MEL: she learned not to drink it with milk ?
    MOTmm # coffee now # no milk .
    MOTin fact my girl+friend always drank milk .
  2. CHIno # not write it .
    CHIare ya writin(g) it ?
    GAI*GAI: I'm not writing what these letters spell .
    GAIno .
    CHIum +...
  3. CHIwill it fit yet .
    CHInow t@l .
    MEL*MEL: it's a little bit like those jokes of whether you put a whole batch of monkeys to work at typewriters whether sooner or later they might not type the definitive novel .
    CHIj@l .
    MOThave enough Sarah hours of putting together alphabets # sooner or later she'd write something .
  4. MOTit's +"/.
    MOT+" c@l a@l t@l .
    MOT*MOT: but if she's not gonna get anything it's <d@l e@l doo> ["] and everything else .
    MOThere's your paper .
    MOTwhyn't [: why don't] you write cat ?
  5. CHIthat # page .
    CHIdo you ?
    GAI*GAI: it's not bad .
    CHII like this one .
    MELwhat is it ?
  6. MOTtoday's Friday .
    CHInow you can't make one a those .
    MOT*MOT: no # I guess not # what is it ?
    CHIit's a part o(f) a lady .
    MOTpart of a lady ?

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_Brown3.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah100.chaSarah 4;3.131,699663.53

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. not6 · 100.0%