PHPCLANCHILDES with regular expressions

5 matches in 3 utterances

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

  1. oh # we haven't got an o@l . MOT · eng_USA_Brown/sarah071.cha, line 488 · Sarah 3;07
  2. we should've finished that champagne up last week # and we didn't # huh … MOT · eng_USA_Brown/sarah071.cha, line 736 · Sarah 3;07
  3. we should've finished that champagne up last week # and we didn't # huh ? MOT · eng_USA_Brown/sarah071.cha, line 736 · Sarah 3;07
  4. we should see if we can buy her a dress today # huh ? MOT · eng_USA_Brown/sarah071.cha, line 1005 · Sarah 3;07
  5. we should see if we can buy her a dress today # huh ? MOT · eng_USA_Brown/sarah071.cha, line 1005 · Sarah 3;07
  1. eng_USA_Brown/sarah071.cha, line 488 · Sarah, 3;7.30
    MOTdo the o@l .
    MOTwhere's the o@l ?
    MOT*MOT: oh # we haven't got an o@l .
    MOTyes ya have .
    MOThere .
  2. eng_USA_Brown/sarah071.cha, line 736 · Sarah, 3;7.30
    MOT0 .
    CHII want a lot tea .
    MOT*MOT: we should've finished that champagne up last week # and we didn't # huh ?
    MOTgee whiz .
    CHII threw it all up .
  3. eng_USA_Brown/sarah071.cha, line 1005 · Sarah, 3;7.30
    MOThow'd they get so dirty ?
    CHII don't know .
    MOT*MOT: we should see if we can buy her a dress today # huh ?
    CHIyeah .
    MOT(a)n(d) give her a nice bath .

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;7.301,099354.55

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. we5 · 100.0%