PHPCLANCHILDES with regular expressions

15 matches in 14 utterances

7.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (404 utterances, 2,002 words searched).

  1. where does that piece go ? MOT · eng_british_Manchester_II/warr09b.cha, line 36 · Warren 2;01
  2. which one goes where ? MOT · eng_british_Manchester_II/warr09b.cha, line 140 · Warren 2;01
  3. now where does this piece go ? MOT · eng_british_Manchester_II/warr09b.cha, line 152 · Warren 2;01
  4. that's the hat but where [/] where's the face to go under the hat ? MOT · eng_british_Manchester_II/warr09b.cha, line 160 · Warren 2;01
  5. that's the hat but where [/] where's the face to go under the hat ? MOT · eng_british_Manchester_II/warr09b.cha, line 160 · Warren 2;01
  6. and they can see where all the hoses are . MOT · eng_british_Manchester_II/warr09b.cha, line 213 · Warren 2;01
  7. and they can see how [//] where to put the key in to unlock these sliding doors . MOT · eng_british_Manchester_II/warr09b.cha, line 216 · Warren 2;01
  8. where are you going ? MOT · eng_british_Manchester_II/warr09b.cha, line 227 · Warren 2;01
  9. let's sort out which jigsaw goes where . MOT · eng_british_Manchester_II/warr09b.cha, line 517 · Warren 2;01
  10. where's the cat's body ? MOT · eng_british_Manchester_II/warr09b.cha, line 545 · Warren 2;01
  11. where's the cat's body ? MOT · eng_british_Manchester_II/warr09b.cha, line 549 · Warren 2;01
  12. now where do these pieces go ? MOT · eng_british_Manchester_II/warr09b.cha, line 553 · Warren 2;01
  13. where do they go ? MOT · eng_british_Manchester_II/warr09b.cha, line 559 · Warren 2;01
  14. where are all the other pieces for your jigsaw ? MOT · eng_british_Manchester_II/warr09b.cha, line 783 · Warren 2;01
  15. where did we get this from ? MOT · eng_british_Manchester_II/warr09b.cha, line 1073 · Warren 2;01
  1. MOTcan you see a piece ?
    CHIthat .
    MOT*MOT: where does that piece go ?
    CHIoh dear .
    CHIWarren broken down the wheel .
  2. MOTnow we've got two pieces left .
    MOTwe've got that piece and that piece .
    MOT*MOT: which one goes where ?
    CHIthat one go there .
    MOTtry it the other way round .
  3. MOTexcuse you .
    MOTthat's it .
    MOT*MOT: now where does this piece go ?
    CHIput it face .
    CHIthere hat there .
  4. CHIthere hat there .
    CHIsee the hat .
    MOT*MOT: that's the hat but where [/] where's the face to go under the hat ?
    CHIover there .
    MOTthat's it .
  5. CHIfloodlight .
    MOTand when they switch that on so if they have to go to a fire in the dark they can see what's going on when they've stopped the fire+engine .
    MOT*MOT: and they can see where all the hoses are .
    MOTand they can see how [//] where to put the key in to unlock these sliding doors .
    MOTso they can see what they're doing .
  6. MOTand when they switch that on so if they have to go to a fire in the dark they can see what's going on when they've stopped the fire+engine .
    MOTand they can see where all the hoses are .
    MOT*MOT: and they can see how [//] where to put the key in to unlock these sliding doors .
    MOTso they can see what they're doing .
    CHIoh this .
  7. CHIoh this .
    CHImake [/] make hose pipe there .
    MOT*MOT: where are you going ?
    MOTwhat on earth are you doing wild boy ?
    MOTI think you ought to calm down .
  8. CHIWarren kiss it .
    MOTright .
    MOT*MOT: let's sort out which jigsaw goes where .
    MOTdon't [/] don't eat it .
    MOTthey'll go straight back if you eat them .
  9. MOTlet's put this one together .
    CHIthat one .
    MOT*MOT: where's the cat's body ?
    MOTto go next to its head .
    MOTwhere's the cat's body ?
  10. MOTwhere's the cat's body ?
    MOTto go next to its head .
    MOT*MOT: where's the cat's body ?
    MOTthere it is .
    MOTnow where do these pieces go ?
  11. MOTwhere's the cat's body ?
    MOTthere it is .
    MOT*MOT: now where do these pieces go ?
    MOTWarren .
    MOTthese three pieces .
  12. MOTWarren .
    MOTthese three pieces .
    MOT*MOT: where do they go ?
    CHIthat that .
    MOTno .
  13. MOTyou're not house trained , are you ?
    CHIno .
    MOT*MOT: where are all the other pieces for your jigsaw ?
    CHIjigsaw .
    CHIanother cat .
  14. MOTplease .
    CHIplease .
    MOT*MOT: where did we get this from ?
    MOTcan you remember ?
    MOTwe got it from Blackpool when we went with Grandma .

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_II7.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr09b.chaWarren 2;1.012,00214157.49

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. where15 · 100.0%