PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (431 utterances, 1,559 words searched).

  1. are you going to draw ? MOT · eng_british_Manchester_II/liz01a.cha, line 390 · Liz 1;11
  2. did Daddy draw those ? MOT · eng_british_Manchester_II/liz01a.cha, line 426 · Liz 1;11
  3. I can only draw faces , can't I ? MOT · eng_british_Manchester_II/liz01a.cha, line 459 · Liz 1;11
  1. eng_british_Manchester_II/liz01a.cha, line 390 · Liz, 1;11.09
    MOTgot one .
    CHImine .
    MOT*MOT: are you going to draw ?
    MOToh .
    CHIagain .
  2. eng_british_Manchester_II/liz01a.cha, line 426 · Liz, 1;11.09
    CHIcow .
    MOTmmhm .
    MOT*MOT: did Daddy draw those ?
    MOTthey don't look like my cats, do they ?
    CHIcat .
  3. eng_british_Manchester_II/liz01a.cha, line 459 · Liz, 1;11.09
    CHIcow .
    MOToh I'm <not very> [/] not very good at cows really .
    MOT*MOT: I can only draw faces , can't I ?
    CHIfaces .
    MOTbut I'll try .

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_II1.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz01a.chaLiz 1;11.091,559331.92

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. draw3 · 100.0%