PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (418 utterances, 1,533 words searched).

  1. what're you doing ? MOT · eng_british_Manchester_I/carl07b.cha, line 622 · Carl 1;11
  2. what're you doing now ? MOT · eng_british_Manchester_I/carl07b.cha, line 723 · Carl 1;11
  3. what're you doing to the tractor ? MOT · eng_british_Manchester_I/carl07b.cha, line 727 · Carl 1;11
  4. <what're you doing> [>] ? MOT · eng_british_Manchester_I/carl07b.cha, line 1244 · Carl 1;11
  5. what're you doing Granddad ? MOT · eng_british_Manchester_I/carl07b.cha, line 1248 · Carl 1;11
  6. what're they doing there ? MOT · eng_british_Manchester_I/carl07b.cha, line 1634 · Carl 1;11
  1. eng_british_Manchester_I/carl07b.cha, line 622 · Carl, 1;11.03
    CHIthere's bike .
    CHIoh: .
    MOT*MOT: what're you doing ?
    CHIwhat doing the bike ?
    MOTno what are you doing to the bike ?
  2. eng_british_Manchester_I/carl07b.cha, line 723 · Carl, 1;11.03
    MOTput them all in .
    MOTmmm .
    MOT*MOT: what're you doing now ?
    CHIwhat doing the tractor ?
    MOTwhat're you doing to the tractor ?
  3. eng_british_Manchester_I/carl07b.cha, line 727 · Carl, 1;11.03
    MOTwhat're you doing now ?
    CHIwhat doing the tractor ?
    MOT*MOT: what're you doing to the tractor ?
    CHIa digger .
    MOTit's a digger , is it ?
  4. eng_british_Manchester_I/carl07b.cha, line 1244 · Carl, 1;11.03
    MOToh hello there .
    CHIhello Granddad .
    MOT*MOT: <what're you doing> [>] ?
    CHIdoing [<] ?
    MOTwhat're you doing Granddad ?
  5. eng_british_Manchester_I/carl07b.cha, line 1248 · Carl, 1;11.03
    MOT<what're you doing> [>] ?
    CHIdoing [<] ?
    MOT*MOT: what're you doing Granddad ?
    CHIwhat 0are [*] you doing Granddad ?
    CHIBert .
  6. eng_british_Manchester_I/carl07b.cha, line 1634 · Carl, 1;11.03
    CHIchoo^choo@o .
    MOTthey're all going through , are they ?
    MOT*MOT: what're they doing there ?
    MOTthey're getting a wash , aren't they ?
    CHIwash .

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. Carl eng_british_Manchester_I3.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/carl07b.chaCarl 1;11.031,533663.91

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. what're6 · 100.0%