PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

4.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (222 utterances, 739 words searched).

  1. there we are . MOT · eng_USA_Brown/sarah040.cha, line 510 · Sarah 3;00
  2. why are you always making pancakes ? MOT · eng_USA_Brown/sarah040.cha, line 882 · Sarah 3;00
  3. your dishes are dirty ? MOT · eng_USA_Brown/sarah040.cha, line 1163 · Sarah 3;00
  1. eng_USA_Brown/sarah040.cha, line 510 · Sarah, 3;0.18
    MOTyou got the back of him .
    MOTthat's the back of him .
    MOT*MOT: there we are .
    MOTthere .
    MOTI don't blame you .
  2. eng_USA_Brown/sarah040.cha, line 882 · Sarah, 3;0.18
    MOTxxx had pancakes every night in the week .
    MOTI don't think you have them once in six months .
    MOT*MOT: why are you always making pancakes ?
    CHII want put water in it .
    MOTyou can't (be)cause you can't use that sink # Sarah .
  3. eng_USA_Brown/sarah040.cha, line 1163 · Sarah, 3;0.18
    CHIxxx # xxx .
    CHIxxx dishes dirty .
    MOT*MOT: your dishes are dirty ?
    CHIyeah .
    CHII want a wash em .

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_Brown4.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah040.chaSarah 3;0.18739334.06

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. are3 · 100.0%