PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

3.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (350 utterances, 1,669 words searched).

  1. and to clean up the mess we've got the digger and we're going to <get every> [/] get everything in the digger . MOT · eng_british_Manchester_II/warr11a.cha, line 646 · Warren 2;01
  2. …t the digger and we're going to <get every> [/] get everything in the digger . MOT · eng_british_Manchester_II/warr11a.cha, line 646 · Warren 2;01
  3. I'm not a very good digger driver , am I ? MOT · eng_british_Manchester_II/warr11a.cha, line 653 · Warren 2;01
  4. what do you want the digger to do ? MOT · eng_british_Manchester_II/warr11a.cha, line 758 · Warren 2;01
  5. where's [/] where's the digger going to put them ? MOT · eng_british_Manchester_II/warr11a.cha, line 766 · Warren 2;01
  1. CHIHenry's crash .
    MOTit has .
    MOT*MOT: and to clean up the mess we've got the digger and we're going to <get every> [/] get everything in the digger .
    MOTwhoops .
    MOTI'm not a very good digger driver , am I ?
  2. MOTand to clean up the mess we've got the digger and we're going to <get every> [/] get everything in the digger .
    MOTwhoops .
    MOT*MOT: I'm not a very good digger driver , am I ?
    MOTand we'll drive over to +/.
    CHIthe train down .
  3. CHIdigger .
    MOTbrumm@o .
    MOT*MOT: what do you want the digger to do ?
    CHIscoop up .
    CHIput Henry in .
  4. CHIput Henry in .
    CHIHenry's too big .
    MOT*MOT: where's [/] where's the digger going to put them ?
    CHIdown there .
    MOTdown where ?

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. Warren eng_british_Manchester_II3.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr11a.chaWarren 2;1.281,669453.00

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. digger5 · 100.0%