PHPCLANCHILDES with regular expressions

15 matches in 12 utterances

7.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (371 utterances, 1,980 words searched).

  1. we've got one in . MOT · eng_british_Manchester_II/warr15a.cha, line 102 · Warren 2;03
  2. we've got a teddy in the orange basket now . MOT · eng_british_Manchester_II/warr15a.cha, line 104 · Warren 2;03
  3. now we need somebody to drive it , don't we ? MOT · eng_british_Manchester_II/warr15a.cha, line 150 · Warren 2;03
  4. now we need somebody to drive it , don't we ? MOT · eng_british_Manchester_II/warr15a.cha, line 150 · Warren 2;03
  5. there we go . MOT · eng_british_Manchester_II/warr15a.cha, line 240 · Warren 2;03
  6. shall we sit him up ? MOT · eng_british_Manchester_II/warr15a.cha, line 253 · Warren 2;03
  7. shall we try and find the trailer for the tractor ? MOT · eng_british_Manchester_II/warr15a.cha, line 384 · Warren 2;03
  8. who shall we put in the trailer ? MOT · eng_british_Manchester_II/warr15a.cha, line 391 · Warren 2;03
  9. <shall we put> [//] you could put the polar bear in the wheelbarrow . MOT · eng_british_Manchester_II/warr15a.cha, line 441 · Warren 2;03
  10. oh we've got a man pushing the wheelbarrow now . MOT · eng_british_Manchester_II/warr15a.cha, line 597 · Warren 2;03
  11. I'm not sure that baby tigers eat pie but there we go . MOT · eng_british_Manchester_II/warr15a.cha, line 726 · Warren 2;03
  12. <shall we put> [//] shall we give [//] put some water into Henry +... MOT · eng_british_Manchester_II/warr15a.cha, line 1080 · Warren 2;03
  13. <shall we put> [//] shall we give [//] put some water into Henry +... MOT · eng_british_Manchester_II/warr15a.cha, line 1080 · Warren 2;03
  14. we'll top his tender up with water then , shall we ? MOT · eng_british_Manchester_II/warr15a.cha, line 1102 · Warren 2;03
  15. we'll top his tender up with water then , shall we ? MOT · eng_british_Manchester_II/warr15a.cha, line 1102 · Warren 2;03
  1. CHIthat's come out .
    MOToh .
    MOT*MOT: we've got one in .
    MOTwe've got a teddy in the orange basket now .
    MOThave to hold it up a bit more like that .
  2. MOToh .
    MOTwe've got one in .
    MOT*MOT: we've got a teddy in the orange basket now .
    MOThave to hold it up a bit more like that .
    CHIoh that's a nice teddy .
  3. CHIhe's on the back .
    CHItwo men .
    MOT*MOT: now we need somebody to drive it , don't we ?
    CHI<that that> [/] that go in the back .
    CHIthere's on the front .
  4. MOTnow I need to put it down carefully .
    MOTit's got lots of drink in for him .
    MOT*MOT: there we go .
    MOTis that better baby tiger ?
    CHIxxx .
  5. CHIyes .
    MOTwell don't leave him face down because he might drown in it .
    MOT*MOT: shall we sit him up ?
    MOThe's having a little play in the water , isn't he now ?
    MOT<splash splash splash splash splash splash> [/] splash .
  6. MOToh I've just spilt the baby tiger's water .
    MOTthere he is .
    MOT*MOT: shall we try and find the trailer for the tractor ?
    MOThere it is .
    CHIthere's a tractor .
  7. MOThere it is .
    CHIthere's a tractor .
    MOT*MOT: who shall we put in the trailer ?
    MOTlook who Mummy's found .
    MOTanother baby tiger .
  8. CHIthis the big .
    CHItake this off .
    MOT*MOT: <shall we put> [//] you could put the polar bear in the wheelbarrow .
    CHIpolar bear's in the trucks .
    CHIget my money .
  9. MOThold the hands still and then go pop pop .
    MOTthere you are .
    MOT*MOT: oh we've got a man pushing the wheelbarrow now .
    MOThe can push the old lady .
    CHIno .
  10. MOTpie ?
    MOToh .
    MOT*MOT: I'm not sure that baby tigers eat pie but there we go .
    MOTthere's a plate with some food on for the baby tigers .
    CHIhave a brown sauce ?
  11. CHIhave a drink .
    MOTright .
    MOT*MOT: <shall we put> [//] shall we give [//] put some water into Henry +...
    MOTwhere's his tender ?
    CHIxxx in the box .
  12. CHIjust there .
    MOTright .
    MOT*MOT: we'll top his tender up with water then , shall we ?
    MOTI think it goes in at the back here .
    MOTfill up the tanks at the bottom .

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_II7.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr15a.chaWarren 2;3.021,98012157.58

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. we15 · 100.0%