PHPCLANCHILDES with regular expressions

16 matches in 15 utterances

6.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (642 utterances, 2,409 words searched).

  1. shall we go and find [//] see if we can find a baba spoon ? MOT · eng_british_Manchester_II/ruth06a.cha, line 360 · Ruth 2;01
  2. I'm just gonna [: going to] take them and find a baba spoon . MOT · eng_british_Manchester_II/ruth06a.cha, line 367 · Ruth 2;01
  3. oh that's very nice and that's yellow . MOT · eng_british_Manchester_II/ruth06a.cha, line 824 · Ruth 2;01
  4. use up all this and I might give you some more but you've got plenty , look . MOT · eng_british_Manchester_II/ruth06a.cha, line 879 · Ruth 2;01
  5. and who's this for ? MOT · eng_british_Manchester_II/ruth06a.cha, line 893 · Ruth 2;01
  6. that'll make it nice and bright and cheerful . MOT · eng_british_Manchester_II/ruth06a.cha, line 1074 · Ruth 2;01
  7. that'll make it nice and bright and cheerful . MOT · eng_british_Manchester_II/ruth06a.cha, line 1074 · Ruth 2;01
  8. what do we do when we're in the car and the green light comes on ? MOT · eng_british_Manchester_II/ruth06a.cha, line 1100 · Ruth 2;01
  9. don't we go and have a look at the pet shop fishies ? MOT · eng_british_Manchester_II/ruth06a.cha, line 1250 · Ruth 2;01
  10. is he too big and too loud ? MOT · eng_british_Manchester_II/ruth06a.cha, line 1294 · Ruth 2;01
  11. and what else do we see in the pet shop ? MOT · eng_british_Manchester_II/ruth06a.cha, line 1324 · Ruth 2;01
  12. and the pussycats ? MOT · eng_british_Manchester_II/ruth06a.cha, line 1337 · Ruth 2;01
  13. and +... MOT · eng_british_Manchester_II/ruth06a.cha, line 1345 · Ruth 2;01
  14. oh she's gonna [: going to] sit down and draw . MOT · eng_british_Manchester_II/ruth06a.cha, line 1477 · Ruth 2;01
  15. and you sit down . MOT · eng_british_Manchester_II/ruth06a.cha, line 1483 · Ruth 2;01
  16. and who's this one for ? MOT · eng_british_Manchester_II/ruth06a.cha, line 1550 · Ruth 2;01
  1. MOTyeah .
    MOTneed a baba spoon .
    MOT*MOT: shall we go and find [//] see if we can find a baba spoon ?
    CHImmhm .
    MOTthese are all too big .
  2. CHImmhm .
    MOTthese are all too big .
    MOT*MOT: I'm just gonna [: going to] take them and find a baba spoon .
    MOTRuth .
    CHIoh .
  3. CHIno .
    MOTno .
    MOT*MOT: oh that's very nice and that's yellow .
    MOToh .
    CHIon there .
  4. MOTno .
    MOTwe've finished now .
    MOT*MOT: use up all this and I might give you some more but you've got plenty , look .
    MOTyou've got loads of white .
    MOToh .
  5. MOTdo you wanna do another one ?
    MOTvery good .
    MOT*MOT: and who's this for ?
    MOTwho's this for ?
    CHIPeter .
  6. MOTput some red on it .
    MOTget some nice red color .
    MOT*MOT: that'll make it nice and bright and cheerful .
    MOToh dear .
    MOTno red .
  7. MOTwhat do we do in the car when the green light comes on ?
    CHIhuh ?
    MOT*MOT: what do we do when we're in the car and the green light comes on ?
    CHIMama .
    MOTyeah .
  8. MOTdo we see the fishies in the pet shop sometimes , don't we ?
    CHIhuh ?
    MOT*MOT: don't we go and have a look at the pet shop fishies ?
    CHImmhm .
    MOTwhat else do we see in the pet shop ?
  9. MOTyeah .
    MOTyes .
    MOT*MOT: is he too big and too loud ?
    CHImmhm .
    MOThe goes grr@o sometimes , doesn't he ?
  10. MOTwhat do the mice say ?
    CHIeek@o .
    MOT*MOT: and what else do we see in the pet shop ?
    MOTdo we see some doggys ?
    CHImmhm .
  11. CHImmm^mmm@o .
    MOTmmhm .
    MOT*MOT: and the pussycats ?
    CHImmhm .
    CHImieow@o .
  12. CHImieow@o .
    MOTmmhm .
    MOT*MOT: and +...
    CHIxxx .
    MOTwhat ?
  13. CHIbaba sit down .
    MOTthe baba's gonna [: going to] sit down .
    MOT*MOT: oh she's gonna [: going to] sit down and draw .
    CHIme [*] sit down .
    MOTand you sit down .
  14. MOToh she's gonna [: going to] sit down and draw .
    CHIme [*] sit down .
    MOT*MOT: and you sit down .
    CHIme [*] fall .
    MOTyou fall ?
  15. CHIxxx Peter .
    MOTPeter .
    MOT*MOT: and who's this one for ?
    CHIPeter .
    MOTthey're both for Peter ?

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. Ruth eng_british_Manchester_II6.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth06a.chaRuth 2;1.102,40915166.64

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. and16 · 100.0%