PHPCLANCHILDES with regular expressions

31 matches in 31 utterances

13.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (484 utterances, 2,244 words searched).

  1. what animal are you going to make first ? MOT · eng_british_Manchester_II/warr07b.cha, line 101 · Warren 2;00
  2. what's Warren going to cut now ? MOT · eng_british_Manchester_II/warr07b.cha, line 134 · Warren 2;00
  3. what's stuck ? MOT · eng_british_Manchester_II/warr07b.cha, line 179 · Warren 2;00
  4. what's happened ? MOT · eng_british_Manchester_II/warr07b.cha, line 228 · Warren 2;00
  5. what do you sound like ? MOT · eng_british_Manchester_II/warr07b.cha, line 263 · Warren 2;00
  6. what shape shall we cut out next ? MOT · eng_british_Manchester_II/warr07b.cha, line 315 · Warren 2;00
  7. what do you sound like ? MOT · eng_british_Manchester_II/warr07b.cha, line 337 · Warren 2;00
  8. what's happened there ? MOT · eng_british_Manchester_II/warr07b.cha, line 543 · Warren 2;00
  9. what shall we make this time ? MOT · eng_british_Manchester_II/warr07b.cha, line 560 · Warren 2;00
  10. what's Mummy done ? MOT · eng_british_Manchester_II/warr07b.cha, line 566 · Warren 2;00
  11. tell you what , Warren . MOT · eng_british_Manchester_II/warr07b.cha, line 577 · Warren 2;00
  12. what a lot of holes . MOT · eng_british_Manchester_II/warr07b.cha, line 607 · Warren 2;00
  13. what's that a picture of ? MOT · eng_british_Manchester_II/warr07b.cha, line 611 · Warren 2;00
  14. what is it ? MOT · eng_british_Manchester_II/warr07b.cha, line 613 · Warren 2;00
  15. what is it ? MOT · eng_british_Manchester_II/warr07b.cha, line 658 · Warren 2;00
  16. what's Mummy doing ? MOT · eng_british_Manchester_II/warr07b.cha, line 702 · Warren 2;00
  17. what am I doing ? MOT · eng_british_Manchester_II/warr07b.cha, line 704 · Warren 2;00
  18. what did I do with the spoon ? MOT · eng_british_Manchester_II/warr07b.cha, line 763 · Warren 2;00
  19. tell you what . MOT · eng_british_Manchester_II/warr07b.cha, line 769 · Warren 2;00
  20. your what's gone ? MOT · eng_british_Manchester_II/warr07b.cha, line 818 · Warren 2;00
  21. what's on the picture ? MOT · eng_british_Manchester_II/warr07b.cha, line 899 · Warren 2;00
  22. and what's on the picture ? MOT · eng_british_Manchester_II/warr07b.cha, line 908 · Warren 2;00
  23. what are you after ? MOT · eng_british_Manchester_II/warr07b.cha, line 950 · Warren 2;00
  24. what shall we make with the yellow stuff ? MOT · eng_british_Manchester_II/warr07b.cha, line 958 · Warren 2;00
  25. what's that ? MOT · eng_british_Manchester_II/warr07b.cha, line 994 · Warren 2;00
  26. what shapes are you going to cut out with the yellow ? MOT · eng_british_Manchester_II/warr07b.cha, line 1000 · Warren 2;00
  27. what's Warren squashing ? MOT · eng_british_Manchester_II/warr07b.cha, line 1349 · Warren 2;00
  28. what are you doing with that string ? MOT · eng_british_Manchester_II/warr07b.cha, line 1399 · Warren 2;00
  29. that's what happens when you do daft things with bookshelfs . MOT · eng_british_Manchester_II/warr07b.cha, line 1413 · Warren 2;00
  30. what have you got there ? MOT · eng_british_Manchester_II/warr07b.cha, line 1418 · Warren 2;00
  31. what have you got ? MOT · eng_british_Manchester_II/warr07b.cha, line 1420 · Warren 2;00
  1. CHIMummy .
    MOTMummy .
    MOT*MOT: what animal are you going to make first ?
    MOTor shall we make a vehicle ?
    CHImake a bus .
  2. MOTlook .
    MOTthere's the bus .
    MOT*MOT: what's Warren going to cut now ?
    CHIplane .
    CHIplane , Mummy .
  3. CHIoh stuck .
    CHIstuck .
    MOT*MOT: what's stuck ?
    CHIoh dear .
    MOTum wrong pot .
  4. MOTbecause we've got two trains in there , haven't we that we can make .
    MOTwhoops .
    MOT*MOT: what's happened ?
    MOTsilly Mummy .
    CHItake it off .
  5. MOTat least press hard .
    CHIoo^oo@o .
    MOT*MOT: what do you sound like ?
    MOTsound like a monkey .
    MOTright .
  6. MOTthere it is .
    MOTright .
    MOT*MOT: what shape shall we cut out next ?
    CHIanother tractor .
    MOTanother tractor .
  7. MOTokay .
    MOTyou cut out the tractor then .
    MOT*MOT: what do you sound like ?
    MOTokay .
    MOTlet's peel off the bit from round the edge .
  8. MOTit's stuck to the mat .
    MOToh .
    MOT*MOT: what's happened there ?
    MOTshall we peel it off ?
    MOTthat's a very fat train , isn't it ?
  9. MOTlook at all those vehicles .
    MOTshall we make another one ?
    MOT*MOT: what shall we make this time ?
    CHImake a van .
    CHImake another van .
  10. CHImake a van .
    CHImake another van .
    MOT*MOT: what's Mummy done ?
    CHIWarren pull this off .
    CHIoh dear , Mummy .
  11. MOTshall Mummy pull it off ?
    CHImy [*] pull it off .
    MOT*MOT: tell you what , Warren .
    MOTjust a second .
    MOTif I cut down there using the cutting tool rather than the prodding tool .
  12. MOTtwo three .
    MOTfour five six seven eight nine ten eleven twelve thirteen fourteen fifteen sixteen .
    MOT*MOT: what a lot of holes .
    MOTseventeen eighteen .
    MOTwhat's that a picture of ?
  13. MOTwhat a lot of holes .
    MOTseventeen eighteen .
    MOT*MOT: what's that a picture of ?
    MOTwhat is it ?
    MOTis it a picture of anything or is it just a nice pattern ?
  14. MOTseventeen eighteen .
    MOTwhat's that a picture of ?
    MOT*MOT: what is it ?
    MOTis it a picture of anything or is it just a nice pattern ?
    CHInice pattern .
  15. MOTvan .
    MOTanother train and flying saucer ?
    MOT*MOT: what is it ?
    CHIflying saucer .
    MOTa flying saucer .
  16. CHIMummy do it .
    MOToh right .
    MOT*MOT: what's Mummy doing ?
    MOTwhat am I doing ?
    MOTam I prodding ?
  17. MOToh right .
    MOTwhat's Mummy doing ?
    MOT*MOT: what am I doing ?
    MOTam I prodding ?
    MOT<prod prod prod prod> [/] prod .
  18. MOTright .
    MOTdid I lose the spoon in here ?
    MOT*MOT: what did I do with the spoon ?
    MOTwhere did I put the spoon ?
    MOTdid I put it +//.
  19. MOTwhere did I put the spoon ?
    MOTdid I put it +//.
    MOT*MOT: tell you what .
    MOTthe tractor can drink the medicine from the bottle , can't it ?
    MOTcome on tractor .
  20. MOTpardon ?
    CHImy spoon's gone .
    MOT*MOT: your what's gone ?
    CHImy spoon 0has [*] gone .
    MOTyour spoon .
  21. MOTthat one ?
    CHIthat one .
    MOT*MOT: what's on the picture ?
    MOTthat's a birthday card .
    MOTI think a birthday card .
  22. MOTI think a birthday card .
    MOTthat was Mummy's birthday card last year .
    MOT*MOT: and what's on the picture ?
    MOTthere's a flag .
    MOTand a house .
  23. CHIno .
    MOTno .
    MOT*MOT: what are you after ?
    MOTare you after the red stuff ?
    MOTor your glasses .
  24. MOTor your glasses .
    MOTyellow stuff ?
    MOT*MOT: what shall we make with the yellow stuff ?
    CHIthat one blue one .
    MOTmagic medicine .
  25. MOTwe'll get them out and we can make +//.
    MOToh look .
    MOT*MOT: what's that ?
    MOTthat's a squashed car .
    MOTright .
  26. MOTthat's a squashed car .
    MOTright .
    MOT*MOT: what shapes are you going to cut out with the yellow ?
    MOTare you going to make some animals ?
    MOTor some more vehicles ?
  27. CHIsmoke go blow up sky .
    MOTdoes it blow up in the sky ?
    MOT*MOT: what's Warren squashing ?
    CHItrain .
    MOTwhich bit of the train ?
  28. CHIxxx .
    MOTshall we put these away now , Warren ?
    MOT*MOT: what are you doing with that string ?
    MOTdon't pull it .
    MOTWarren .
  29. MOTit's there to stop you getting the books off .
    MOTit worked once .
    MOT*MOT: that's what happens when you do daft things with bookshelfs .
    MOTyou smack your head .
    MOTwhat have you got there ?
  30. MOTthat's what happens when you do daft things with bookshelfs .
    MOTyou smack your head .
    MOT*MOT: what have you got there ?
    MOTwhat have you got ?
  31. MOTyou smack your head .
    MOTwhat have you got there ?
    MOT*MOT: what have you got ?

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_II13.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr07b.chaWarren 2;0.172,244313113.81

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. what31 · 100.0%