PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (528 utterances, 2,071 words searched).

  1. right . MOT · eng_british_Manchester_II/nic27b.cha, line 106 · Nicole 2;10
  2. right . MOT · eng_british_Manchester_II/nic27b.cha, line 126 · Nicole 2;10
  3. that's right . MOT · eng_british_Manchester_II/nic27b.cha, line 151 · Nicole 2;10
  4. right . MOT · eng_british_Manchester_II/nic27b.cha, line 210 · Nicole 2;10
  5. right . MOT · eng_british_Manchester_II/nic27b.cha, line 256 · Nicole 2;10
  6. right . MOT · eng_british_Manchester_II/nic27b.cha, line 487 · Nicole 2;10
  7. right ? MOT · eng_british_Manchester_II/nic27b.cha, line 539 · Nicole 2;10
  8. right . MOT · eng_british_Manchester_II/nic27b.cha, line 817 · Nicole 2;10
  9. right . MOT · eng_british_Manchester_II/nic27b.cha, line 846 · Nicole 2;10
  1. CHIxxx .
    MOTwww .
    MOT*MOT: right .
    MOTthat goes there , doesn'(t) it ?
    CHIright .
  2. MOTwhere's the pussy+cat on the picture ?
    MOTthere .
    MOT*MOT: right .
    CHIcan't do it .
    MOTyes .
  3. MOTthat goes there .
    MOTlike that .
    MOT*MOT: that's right .
    MOTnow .
    MOTwhat goes at the other end ?
  4. MOTyou do .
    MOTthere .
    MOT*MOT: right .
    MOTso .
    MOTwhich side are we going to come down ?
  5. MOTit does , doesn't it ?
    CHIyeah .
    MOT*MOT: right .
    MOTthere .
    MOTso .
  6. MOTwhere's the pig's face ?
    MOTthere .
    MOT*MOT: right .
    MOTpop that bit in there then for Mummy .
    CHIoh no .
  7. MOTbecause that's where the lady goes and the tractor .
    CHIoh .
    MOT*MOT: right ?
    MOTput it there where Mummy said .
    CHIthere .
  8. MOTthen we can put them back in the box as we do them , can't we ?
    CHIyeah .
    MOT*MOT: right .
    MOTwhich one are we doing first then ?
    CHIthis one .
  9. CHIwhat doing ?
    MOTI think that's done .
    MOT*MOT: right .
    MOTlet's build them up in here .
    CHIwhy ?

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. Nicole eng_british_Manchester_II4.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic27b.chaNicole 2;10.012,071994.35

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. right9 · 100.0%