PHPCLANCHILDES with regular expressions

24 matches in 24 utterances

5.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (952 utterances, 4,538 words searched).

  1. are you driving the tractor ? MOT · eng_USA_Valian/09a.cha, line 425 · 09A 2;07
  2. the wheels on a car are really small . INV · eng_USA_Valian/09a.cha, line 723 · 09A 2;07
  3. are those different ? MOT · eng_USA_Valian/09a.cha, line 743 · 09A 2;07
  4. Child, are those different ? MOT · eng_USA_Valian/09a.cha, line 753 · 09A 2;07
  5. are they different ? MOT · eng_USA_Valian/09a.cha, line 755 · 09A 2;07
  6. are you saying +"/. INV · eng_USA_Valian/09a.cha, line 1074 · 09A 2;07
  7. these are not quite as exciting, but +/. INV · eng_USA_Valian/09a.cha, line 1270 · 09A 2;07
  8. they look like people who are gonna fix the building . MOT · eng_USA_Valian/09a.cha, line 1286 · 09A 2;07
  9. are there things underneath the, the sink, too ? INV · eng_USA_Valian/09a.cha, line 1670 · 09A 2;07
  10. no, yeah, in the cupboard, are there things in there ? INV · eng_USA_Valian/09a.cha, line 1675 · 09A 2;07
  11. what kind of muffins are we [=? you] making ? MOT · eng_USA_Valian/09a.cha, line 1701 · 09A 2;07
  12. are these for our muffins ? MOT · eng_USA_Valian/09a.cha, line 1784 · 09A 2;07
  13. are they still cooking ? MOT · eng_USA_Valian/09a.cha, line 1825 · 09A 2;07
  14. there they are . MOT · eng_USA_Valian/09a.cha, line 1905 · 09A 2;07
  15. there they are . MOT · eng_USA_Valian/09a.cha, line 1907 · 09A 2;07
  16. what are you bringing ? MOT · eng_USA_Valian/09a.cha, line 2234 · 09A 2;07
  17. what are these ? MOT · eng_USA_Valian/09a.cha, line 2236 · 09A 2;07
  18. but these are just too too sweet . MOT · eng_USA_Valian/09a.cha, line 2311 · 09A 2;07
  19. are you cooking, Child ? MOT · eng_USA_Valian/09a.cha, line 2340 · 09A 2;07
  20. what are you making ? MOT · eng_USA_Valian/09a.cha, line 2351 · 09A 2;07
  21. Child, what are you good at cooking in the morning ? MOT · eng_USA_Valian/09a.cha, line 2430 · 09A 2;07
  22. what are the two things that you make really well in the morning ? MOT · eng_USA_Valian/09a.cha, line 2433 · 09A 2;07
  23. …e it over there and see if she knows what any of the different things are in that picture . MOT · eng_USA_Valian/09a.cha, line 2499 · 09A 2;07
  24. what are you cooking now ? MOT · eng_USA_Valian/09a.cha, line 2593 · 09A 2;07
  1. MOTxxx is there anybody driving the tractor ?
    MOTno ?
    MOT*MOT: are you driving the tractor ?
    MOTmaybe Chuck could drive the tractor .
    MOTthink Chuck could ?
  2. INVo:h .
    INVthis has such big wheels, doesn't it, compared to the wheels on a car ?
    INV*INV: the wheels on a car are really small .
    MOTwhat's this one called, Child ?
    MOTwhat's this truck called ?
  3. INVI've got actually another one of those .
    MOToh, lookit .
    MOT*MOT: are those different ?
    CHImore .
    MOTmore .
  4. MOTmore .
    INVmore what ?
    MOT*MOT: Child, are those different ?
    MOTare they different ?
    MOTI don't think so .
  5. INVmore what ?
    MOTChild, are those different ?
    MOT*MOT: are they different ?
    MOTI don't think so .
    MOTI don't think so .
  6. MOTwhat is it ?
    INVwhere is it ?
    INV*INV: are you saying +"/.
    INV+" where is it .
    INVor +"/.
  7. MOTlet's go see .
    MOTlet's see what Observer's got .
    INV*INV: these are not quite as exciting, but +/.
    MOT+< this is neat .
    CHIlion .
  8. CHIwhat gonna do ?
    MOTI think they're just gonna go fix the building .
    MOT*MOT: they look like people who are gonna fix the building .
    INVthey look like people who don't know how to close a door, don't they ?
    MOTMommy's coming right back .
  9. INVnow .
    MOTxxx try again .
    INV*INV: are there things underneath the, the sink, too ?
    MOTin the +...
    INVno, yeah, in the cupboard, are there things in there ?
  10. INVare there things underneath the, the sink, too ?
    MOTin the +...
    INV*INV: no, yeah, in the cupboard, are there things in there ?
    MOTxxx what do you make in that pan ?
    MOTthat's a nice stove .
  11. CHIxxx muffins .
    MOTyou're making muffins ?
    MOT*MOT: what kind of muffins are we [=? you] making ?
    CHIa tea muffin .
    MOTtea muffins .
  12. INVoh, thank you .
    MOToh .
    MOT*MOT: are these for our muffins ?
    MOTthank you .
    MOTmay I have a muffin for my plate ?
  13. MOToh, we're not finished yet, I'm sorry .
    CHIxxx .
    MOT*MOT: are they still cooking ?
    CHIthey're in the oven .
    MOToh, okay .
  14. MOTuhm, I think maybe you put them in the basket .
    MOTremember ?
    MOT*MOT: there they are .
    MOTthere they are .
    CHIhow get in there ?
  15. MOTremember ?
    MOTthere they are .
    MOT*MOT: there they are .
    CHIhow get in there ?
    MOTyou put them in there, hon .
  16. INVit matches my plate .
    CHIxxx .
    MOT*MOT: what are you bringing ?
    MOTwhat are these ?
    CHIteeth .
  17. CHIxxx .
    MOTwhat are you bringing ?
    MOT*MOT: what are these ?
    CHIteeth .
    MOTteeth ?
  18. INVno .
    MOTI've made them once and they're just, I mean, I love everything sweet .
    MOT*MOT: but these are just too too sweet .
    INVhmm .
    MOTand we were visiting someone who had a new baby yesterday and she made them and he took one bite and said, +"/.
  19. INVoh, Alexander's a baby ?
    INVhow big is he ?
    MOT*MOT: are you cooking, Child ?
    MOTChild, xxx .
    MOTis Alexander just a baby ?
  20. CHIyeah .
    MOTyeah ?
    MOT*MOT: what are you making ?
    CHII'm making pie .
    MOToh .
  21. MOT<Child, what do you do> [//] there we go .
    MOTthat's it .
    MOT*MOT: Child, what are you good at cooking in the morning ?
    MOTwhat are the two things that you make really well in the morning ?
    CHIxx make pies xx .
  22. MOTthat's it .
    MOTChild, what are you good at cooking in the morning ?
    MOT*MOT: what are the two things that you make really well in the morning ?
    CHIxx make pies xx .
    MOTpie .
  23. CHIfireman .
    MOTa fireman would wear those things, that's right .
    MOT*MOT: you take it over there and see if she knows what any of the different things are in that picture .
    CHIfireman things .
    CHIwhoop .
  24. MOTwhat's not good ?
    CHIthat .
    MOT*MOT: what are you cooking now ?
    CHIxxx .
    MOTChild, I think you're getting silly now .

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. 09A eng_USA_Valian5.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/09a.cha09A 2;7.254,53824245.29

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. are24 · 100.0%