PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,679 words searched).

  1. oh I'm no good at cows . MOT · eng_british_Manchester_II/liz02a.cha, line 1214 · Liz 1;11
  2. I do very bad cows . MOT · eng_british_Manchester_II/liz02a.cha, line 1220 · Liz 1;11
  3. that'll be two cows as well , won't [: willn't] it ? MOT · eng_british_Manchester_II/liz02a.cha, line 1317 · Liz 1;11
  4. cows have like little spots on their noses , don't they ? MOT · eng_british_Manchester_II/liz02a.cha, line 1334 · Liz 1;11
  1. MOToh I'm up to fourteen now .
    CHIdraw there cow .
    MOT*MOT: oh I'm no good at cows .
    MOTyou know that .
    MOTam I ?
  2. MOTyou know that .
    MOTam I ?
    MOT*MOT: I do very bad cows .
    MOTthey always look like skulls .
    MOTdon't they ?
  3. MOTanother cow ?
    CHIyes .
    MOT*MOT: that'll be two cows as well , won't [: willn't] it ?
    MOTthere we go .
    MOTsome noses .
  4. MOTthis one's got dark eyes .
    MOTthere we go .
    MOT*MOT: cows have like little spots on their noses , don't they ?
    MOTare you going to draw ?
    CHIwindow .

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. Liz eng_british_Manchester_II2.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz02a.chaLiz 1;11.161,679442.38

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. cows4 · 100.0%