PHPCLANCHILDES with regular expressions

16 matches in 15 utterances

9.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (460 utterances, 1,630 words searched).

  1. what's not very good ? INV · eng_british_Manchester_II/joel18b.cha, line 47 · Joel 2;04
  2. what're you looking for ? MOT · eng_british_Manchester_II/joel18b.cha, line 237 · Joel 2;04
  3. do you know what that is ? MOT · eng_british_Manchester_II/joel18b.cha, line 278 · Joel 2;04
  4. what're you drinking ? MOT · eng_british_Manchester_II/joel18b.cha, line 470 · Joel 2;04
  5. do you know what the elephant says ? MOT · eng_british_Manchester_II/joel18b.cha, line 503 · Joel 2;04
  6. what else is there ? MOT · eng_british_Manchester_II/joel18b.cha, line 522 · Joel 2;04
  7. then we can see what you've got . MOT · eng_british_Manchester_II/joel18b.cha, line 544 · Joel 2;04
  8. what else is there ? MOT · eng_british_Manchester_II/joel18b.cha, line 549 · Joel 2;04
  9. what [/] what's on there then ? MOT · eng_british_Manchester_II/joel18b.cha, line 582 · Joel 2;04
  10. what [/] what's on there then ? MOT · eng_british_Manchester_II/joel18b.cha, line 582 · Joel 2;04
  11. what's on that one ? MOT · eng_british_Manchester_II/joel18b.cha, line 588 · Joel 2;04
  12. what're we going to do now ? MOT · eng_british_Manchester_II/joel18b.cha, line 731 · Joel 2;04
  13. what's your hair ? MOT · eng_british_Manchester_II/joel18b.cha, line 878 · Joel 2;04
  14. what color's that one's hair ? MOT · eng_british_Manchester_II/joel18b.cha, line 899 · Joel 2;04
  15. what [//] which animal does that one like best ? MOT · eng_british_Manchester_II/joel18b.cha, line 966 · Joel 2;04
  16. what ? MOT · eng_british_Manchester_II/joel18b.cha, line 1573 · Joel 2;04
  1. CHIoh .
    CHIthat's not very good .
    INV*INV: what's not very good ?
    CHIthe panda .
    INVwhy ?
  2. MOTis it a drum ?
    CHIyeah .
    MOT*MOT: what're you looking for ?
    CHIwhere's my spoon # to bang ?
    MOToh .
  3. CHIlook .
    MOToh .
    MOT*MOT: do you know what that is ?
    CHIum I don't know .
    MOTcorn+on+the+cob .
  4. MOThe's not there , look .
    MOTthere's only this teddy today .
    MOT*MOT: what're you drinking ?
    CHIhave some milk .
    MOTsome milk .
  5. CHIan elephant .
    MOTan elephant .
    MOT*MOT: do you know what the elephant says ?
    CHIoh dear .
    MOTdoes he ?
  6. MOTbit big to go under the bridge , isn't he ?
    CHIoh .
    MOT*MOT: what else is there ?
    CHIgiraffe .
    MOTyou want the giraffe ?
  7. CHIon the big bricks .
    MOTput them there .
    MOT*MOT: then we can see what you've got .
    CHII got xxx .
    MOTwhat else is there ?
  8. MOTthen we can see what you've got .
    CHII got xxx .
    MOT*MOT: what else is there ?
    CHIum hippopotamus .
    CHIhippopotamus .
  9. CHIit's there , look .
    MOTmmhm .
    MOT*MOT: what [/] what's on there then ?
    MOToh .
    MOTthere's a banana .
  10. MOToh .
    MOTthere's a banana .
    MOT*MOT: what's on that one ?
    MOToh .
    MOToh .
  11. MOToh my word .
    MOTknocked the bridge over .
    MOT*MOT: what're we going to do now ?
    MOTaah .
    MOToh my word .
  12. INVand you've got red hair .
    INVyes .
    MOT*MOT: what's your hair ?
    CHIxxx .
    MOTwell .
  13. CHIhere's another one .
    MOToh .
    MOT*MOT: what color's that one's hair ?
    CHII want to wee .
    CHIoh .
  14. MOToh .
    MOTdoes that one like the um # whale best ?
    MOT*MOT: what [//] which animal does that one like best ?
    CHIxxx .
    CHIhe's going in the car .
  15. CHIyeah .
    INVyeah ?
    MOT*MOT: what ?
    CHIeggs please .
    MOToh .

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. Joel eng_british_Manchester_II9.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel18b.chaJoel 2;4.291,63015169.82

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. what16 · 100.0%