PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (410 utterances, 1,418 words searched).

  1. what do you want to do first ? MOT · eng_british_Manchester_I/becky31a.cha, line 51 · Becky 2;10
  2. do you want to color it in ? MOT · eng_british_Manchester_I/becky31a.cha, line 123 · Becky 2;10
  3. do you want to color it in or not ? MOT · eng_british_Manchester_I/becky31a.cha, line 125 · Becky 2;10
  4. but [//] do you want to draw the picture ? MOT · eng_british_Manchester_I/becky31a.cha, line 398 · Becky 2;10
  5. do you want me to do that one ? MOT · eng_british_Manchester_I/becky31a.cha, line 610 · Becky 2;10
  6. do you want to do another one in here ? MOT · eng_british_Manchester_I/becky31a.cha, line 700 · Becky 2;10
  1. eng_british_Manchester_I/becky31a.cha, line 51 · Becky, 2;10.25
    MOTshall we do that first ?
    CHIwhat ?
    MOT*MOT: what do you want to do first ?
    CHIthis .
    CHIball .
  2. eng_british_Manchester_I/becky31a.cha, line 123 · Becky, 2;10.25
    MOTthat one's done , isn't it ?
    CHIyes .
    MOT*MOT: do you want to color it in ?
    MOTdo you want to color it in or not ?
    CHIno .
  3. eng_british_Manchester_I/becky31a.cha, line 125 · Becky, 2;10.25
    CHIyes .
    MOTdo you want to color it in ?
    MOT*MOT: do you want to color it in or not ?
    CHIno .
    MOTno .
  4. eng_british_Manchester_I/becky31a.cha, line 398 · Becky, 2;10.25
    CHII get them .
    CHII can't know which one [/] one +...
    MOT*MOT: but [//] do you want to draw the picture ?
    CHIyes .
    MOThmm ?
  5. eng_british_Manchester_I/becky31a.cha, line 610 · Becky, 2;10.25
    MOTwe've done all these , haven't we ?
    CHIum no .
    MOT*MOT: do you want me to do that one ?
    MOTplaying tennis .
    CHII 0have [*] done all the books .
  6. eng_british_Manchester_I/becky31a.cha, line 700 · Becky, 2;10.25
    MOTgood .
    CHIum what can I do now , mum ?
    MOT*MOT: do you want to do another one in here ?
    MOTor we could play snap now if you like .
    CHIsnap .

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. Becky eng_british_Manchester_I4.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky31a.chaBecky 2;10.251,418664.23

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. want6 · 100.0%