PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

6.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (207 utterances, 652 words searched).

  1. no # she won't catch cold . MOT · eng_USA_Brown/sarah033.cha, line 447 · Sarah 2;10
  2. she has a runny nose ? MOT · eng_USA_Brown/sarah033.cha, line 778 · Sarah 2;10
  3. but she hasn't got a runny nose . MOT · eng_USA_Brown/sarah033.cha, line 787 · Sarah 2;10
  4. she gave you a lot # uhhuh . MOT · eng_USA_Brown/sarah033.cha, line 845 · Sarah 2;10
  1. eng_USA_Brown/sarah033.cha, line 447 · Sarah, 2;10.11
    MOTum .
    CHIshe catch cold ?
    MOT*MOT: no # she won't catch cold .
    CHIshe catch a cold ?
    MOTno .
  2. eng_USA_Brown/sarah033.cha, line 778 · Sarah, 2;10.11
    CHIoh !
    CHIhe got more runny nose .
    MOT*MOT: she has a runny nose ?
    MOTI don't think so .
    CHIyou got runny nose .
  3. eng_USA_Brown/sarah033.cha, line 787 · Sarah, 2;10.11
    CHIyou got runny nose .
    MOTyeah # I got a runny nose .
    MOT*MOT: but she hasn't got a runny nose .
    CHIno ?
    MOTno .
  4. eng_USA_Brown/sarah033.cha, line 845 · Sarah, 2;10.11
    MOTwhat # another cup ?
    MOThow many pieces did Jo_ann give you ?
    MOT*MOT: she gave you a lot # uhhuh .
    MOTyeah .
    CHIxxx .

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_Brown6.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah033.chaSarah 2;10.11652446.13

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. she4 · 100.0%