PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (271 utterances, 1,099 words searched).

  1. there's no j@l in your name . MOT · eng_USA_Brown/sarah071.cha, line 340 · Sarah 3;07
  2. there . MOT · eng_USA_Brown/sarah071.cha, line 467 · Sarah 3;07
  3. there . MOT · eng_USA_Brown/sarah071.cha, line 572 · Sarah 3;07
  4. the green one right down there by your arm ? MOT · eng_USA_Brown/sarah071.cha, line 666 · Sarah 3;07
  5. there # that's your name . MOT · eng_USA_Brown/sarah071.cha, line 691 · Sarah 3;07
  1. CHIa j@l in it # Mommy .
    MOTin your name ?
    MOT*MOT: there's no j@l in your name .
    KENthanks a lot .
    MOTget the change ?
  2. MOTput the paper here !
    MOTthe paper too .
    MOT*MOT: there .
    MOTnow draw it .
    MOTno # go right along the line .
  3. MOTthe o@l is easy .
    MOTdo it on the o@l .
    MOT*MOT: there .
    MOTpractice on that .
    CHIMommy [/] # Mommy can .
  4. MOTno # that's a c@l .
    MOTI know you've got an r@l .
    MOT*MOT: the green one right down there by your arm ?
    MOToh # what's this ?
    MOThere it is .
  5. CHIn@l .
    CHI<n@l # n@l # n@l # n@l> [/] # n@l .
    MOT*MOT: there # that's your name .
    CHIno it isn't .
    MOTit is .

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_Brown4.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah071.chaSarah 3;7.301,099554.55

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. there5 · 100.0%