PHPCLANCHILDES with regular expressions

16 matches in 16 utterances

8.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (591 utterances, 1,988 words searched).

  1. do you want to put the shapes in ? MOT · eng_british_Manchester_I/becky02a.cha, line 56 · Becky 2;00
  2. <you want> [//] why don't you give dolly some dinner ? MOT · eng_british_Manchester_I/becky02a.cha, line 554 · Becky 2;00
  3. you want your dinner ? MOT · eng_british_Manchester_I/becky02a.cha, line 571 · Becky 2;00
  4. do you want to comb her hair ? MOT · eng_british_Manchester_I/becky02a.cha, line 752 · Becky 2;00
  5. do you want to comb her hair ? MOT · eng_british_Manchester_I/becky02a.cha, line 760 · Becky 2;00
  6. do you want to use the table for it ? MOT · eng_british_Manchester_I/becky02a.cha, line 888 · Becky 2;00
  7. do you want to sit down as well ? MOT · eng_british_Manchester_I/becky02a.cha, line 898 · Becky 2;00
  8. you want your crayons out ? MOT · eng_british_Manchester_I/becky02a.cha, line 1270 · Becky 2;00
  9. <so you want> [<] your crayons out, do you ? MOT · eng_british_Manchester_I/becky02a.cha, line 1305 · Becky 2;00
  10. you want the window out ? MOT · eng_british_Manchester_I/becky02a.cha, line 1314 · Becky 2;00
  11. you want to close the door ? MOT · eng_british_Manchester_I/becky02a.cha, line 1322 · Becky 2;00
  12. do you want to crayon in Noddy ? MOT · eng_british_Manchester_I/becky02a.cha, line 1344 · Becky 2;00
  13. do you want to make your name again ? MOT · eng_british_Manchester_I/becky02a.cha, line 1368 · Becky 2;00
  14. which one do you want ? MOT · eng_british_Manchester_I/becky02a.cha, line 1635 · Becky 2;00
  15. I don't want it in my mouth . MOT · eng_british_Manchester_I/becky02a.cha, line 1655 · Becky 2;00
  16. want orange ? MOT · eng_british_Manchester_I/becky02a.cha, line 2013 · Becky 2;00
  1. MOTpardon ?
    MOToh turtle .
    MOT*MOT: do you want to put the shapes in ?
    CHIturtle .
    MOTwell put your key in .
  2. MOTsit down ?
    CHIyeah .
    MOT*MOT: <you want> [//] why don't you give dolly some dinner ?
    MOTyeah ?
    MOTon the chair ?
  3. CHIdinner .
    CHII dinner .
    MOT*MOT: you want your dinner ?
    CHIyeah .
    MOTdo you ?
  4. MOTyes .
    MOTthere .
    MOT*MOT: do you want to comb her hair ?
    CHIyeah .
    MOTdon't stick that in your hair .
  5. CHIyeah .
    MOTdon't stick that in your hair .
    MOT*MOT: do you want to comb her hair ?
    CHIyeah .
    MOTgo on then .
  6. MOTxxx use the +//.
    MOTI suppose you could use the table .
    MOT*MOT: do you want to use the table for it ?
    CHIyeah .
    MOTyeah ?
  7. CHIsit down .
    CHIsit down .
    MOT*MOT: do you want to sit down as well ?
    CHIyeah .
    MOTyou sit on this one then .
  8. CHIout .
    CHIcrayon out .
    MOT*MOT: you want your crayons out ?
    CHIyeah .
    MOTdo you ?
  9. MOTand let's put the umbrella out as well .
    MOT<window out> [>] .
    MOT*MOT: <so you want> [<] your crayons out, do you ?
    CHIwindow out .
    MOTthe window ?
  10. MOTthe window ?
    CHIyeah .
    MOT*MOT: you want the window out ?
    CHIyeah .
    MOTwhat window ?
  11. MOTwhat window ?
    MOTthis window ?
    MOT*MOT: you want to close the door ?
    CHIyeah .
    MOTlike that ?
  12. CHIcrayons .
    CHIxxx .
    MOT*MOT: do you want to crayon in Noddy ?
    CHIyeah .
    CHIoh .
  13. MOTisn't it amazing what you find at the bottom on the toybox ?
    CHIxxx .
    MOT*MOT: do you want to make your name again ?
    CHIyeah .
    MOTdo you ?
  14. MOThot ?
    CHIwant .
    MOT*MOT: which one do you want ?
    MOTthis one ?
    MOTyellow .
  15. MOTbecause everything's yellow, isn't it ?
    MOTno .
    MOT*MOT: I don't want it in my mouth .
    CHIxxx .
    CHIa door .
  16. CHIgood .
    CHIxxx .
    MOT*MOT: want orange ?
    CHIyeah .
    MOTshall I give Big_Ears a brown beard ?

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_I8.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky02a.chaBecky 2;0.141,98816168.05

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. want16 · 100.0%