PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (589 utterances, 2,157 words searched).

  1. orange digger . INV · eng_british_Manchester_I/domin17a.cha, line 146 · Dominic 2;04
  2. that's not your digger though , is it ? MOT · eng_british_Manchester_I/domin17a.cha, line 150 · Dominic 2;04
  3. was that digger go away ? MOT · eng_british_Manchester_I/domin17a.cha, line 631 · Dominic 2;04
  4. digger away ? MOT · eng_british_Manchester_I/domin17a.cha, line 751 · Dominic 2;04
  5. it's digger lorry . MOT · eng_british_Manchester_I/domin17a.cha, line 775 · Dominic 2;04
  6. would we like to see his digger lorry ? MOT · eng_british_Manchester_I/domin17a.cha, line 777 · Dominic 2;04
  7. you've got another digger ? MOT · eng_british_Manchester_I/domin17a.cha, line 792 · Dominic 2;04
  8. you haven't got one digger at all . MOT · eng_british_Manchester_I/domin17a.cha, line 800 · Dominic 2;04
  1. CHIthat orange digger .
    INVis it ?
    INV*INV: orange digger .
    CHIvroom@o .
    MOTthat's not your digger though , is it ?
  2. INVorange digger .
    CHIvroom@o .
    MOT*MOT: that's not your digger though , is it ?
    MOTnoisy .
    CHIoh no , car .
  3. CHIgo away .
    CHIxxx .
    MOT*MOT: was that digger go away ?
    CHImmhm .
    MOToh .
  4. MOTDominic always make mess .
    CHIdigger away .
    MOT*MOT: digger away ?
    CHIdigger away truck .
    MOToh .
  5. CHIdigger lorry .
    MOTyes .
    MOT*MOT: it's digger lorry .
    MOTwould we like to see his digger lorry ?
    CHIoh no .
  6. MOTyes .
    MOTit's digger lorry .
    MOT*MOT: would we like to see his digger lorry ?
    CHIoh no .
    CHII got +...
  7. CHI+, a tree .
    CHII 0have [*] got [/] got more digger .
    MOT*MOT: you've got another digger ?
    CHII 0have [*] got one digger .
    MOThave you ?
  8. MOThave you ?
    CHII 0have [*] got one digger .
    MOT*MOT: you haven't got one digger at all .
    CHII 0have [*] got two digger [*] .
    MOTthank you .

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. Dominic eng_british_Manchester_I3.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/domin17a.chaDominic 2;4.112,157883.71

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. digger8 · 100.0%