PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (219 utterances, 877 words searched).

  1. get all your numbers # then you add # add two +... MOT · eng_USA_Brown/sarah134.cha, line 168 · Sarah 5;00
  2. you have to get it so that it'll stay on top . MOT · eng_USA_Brown/sarah134.cha, line 204 · Sarah 5;00
  3. we thought we might get a call this morning from him . MOT · eng_USA_Brown/sarah134.cha, line 879 · Sarah 5;00
  1. eng_USA_Brown/sarah134.cha, line 168 · Sarah, 5;0.02
    CHIsometimes when you do it on time ?
    MOTno # no # that's not time # see ?
    MOT*MOT: get all your numbers # then you add # add two +...
    CHIsometime you add two .
    MOTyeah .
  2. eng_USA_Brown/sarah134.cha, line 204 · Sarah, 5;0.02
    MOTsee how it goes down ?
    CHIyeah .
    MOT*MOT: you have to get it so that it'll stay on top .
    CHIhow_come it didn't balan(ce) ?
    MOTyou got a two and a one over here .
  3. eng_USA_Brown/sarah134.cha, line 879 · Sarah, 5;0.02
    MOThe really came by lightning .
    MOTwe never # never expected to see him .
    MOT*MOT: we thought we might get a call this morning from him .
    MOTy(ou) know to go down to Connecticut (a)n(d) pick him up .
    GAIyeah .

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_Brown3.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah134.chaSarah 5;0.02877333.42

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. get3 · 100.0%