PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. a very big doggy . MOT · eng_british_Manchester_II/liz02a.cha, line 212 · Liz 1;11
  2. you're going very fast on that . MOT · eng_british_Manchester_II/liz02a.cha, line 331 · Liz 1;11
  3. are you doing a very big teddy ? MOT · eng_british_Manchester_II/liz02a.cha, line 493 · Liz 1;11
  4. it didn't stick very well , did it ? MOT · eng_british_Manchester_II/liz02a.cha, line 985 · Liz 1;11
  5. I do very bad cows . MOT · eng_british_Manchester_II/liz02a.cha, line 1220 · Liz 1;11
  1. MOTthe doggy's going for a walk , is he ?
    MOTlook .
    MOT*MOT: a very big doggy .
    MOTand a little tiny doggy .
    CHImore .
  2. CHIseesaw .
    MOToh: .
    MOT*MOT: you're going very fast on that .
    MOTare you doing seesaw ?
    CHIsee_saw_marjorie_(daw) .
  3. MOToh: .
    MOTthat's a big circle , isn't it ?
    MOT*MOT: are you doing a very big teddy ?
    CHItable .
    CHItable .
  4. MOTtaking everybody to work .
    MOToh: .
    MOT*MOT: it didn't stick very well , did it ?
    MOTthere you go .
    CHILiz .
  5. MOTyou know that .
    MOTam I ?
    MOT*MOT: I do very bad cows .
    MOTthey always look like skulls .
    MOTdon't they ?

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_II2.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz02a.chaLiz 1;11.161,679552.98

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. very5 · 100.0%