PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

9.03 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (418 utterances, 1,439 words searched).

  1. here we are . MOT · eng_british_Manchester_I/becky29b.cha, line 38 · Becky 2;10
  2. are you okay ? MOT · eng_british_Manchester_I/becky29b.cha, line 177 · Becky 2;10
  3. there they are . MOT · eng_british_Manchester_I/becky29b.cha, line 202 · Becky 2;10
  4. there we are . MOT · eng_british_Manchester_I/becky29b.cha, line 260 · Becky 2;10
  5. these are new , aren't they ? MOT · eng_british_Manchester_I/becky29b.cha, line 305 · Becky 2;10
  6. are they ? MOT · eng_british_Manchester_I/becky29b.cha, line 400 · Becky 2;10
  7. the only ducks we've got are the ducks you have in your bag . MOT · eng_british_Manchester_I/becky29b.cha, line 730 · Becky 2;10
  8. I don't think there are any horses in there . MOT · eng_british_Manchester_I/becky29b.cha, line 1370 · Becky 2;10
  9. are you the doctor ? INV · eng_british_Manchester_I/becky29b.cha, line 1465 · Becky 2;10
  10. where are you ? MOT · eng_british_Manchester_I/becky29b.cha, line 1704 · Becky 2;10
  11. what are the buttons for , Becky ? MOT · eng_british_Manchester_I/becky29b.cha, line 1721 · Becky 2;10
  12. are they ? MOT · eng_british_Manchester_I/becky29b.cha, line 1731 · Becky 2;10
  13. there you are . MOT · eng_british_Manchester_I/becky29b.cha, line 1924 · Becky 2;10
  1. MOTdo you remember ?
    MOTshe left it .
    MOT*MOT: here we are .
    MOTthere should be the goose about as well .
    MOTdo you know where the goose is ?
  2. INVoh dear .
    CHIand this .
    MOT*MOT: are you okay ?
    MOTdo you want a drink ?
    CHIno .
  3. MOTisn't there some trousers ?
    MOToh .
    MOT*MOT: there they are .
    MOTyou're standing on them .
    MOTshall I put these on ?
  4. MOToh dear .
    MOTshe's got such a long fringe now .
    MOT*MOT: there we are .
    CHIwhat fringe ?
    MOTthis is her fringe here .
  5. CHIlook .
    MOToh .
    MOT*MOT: these are new , aren't they ?
    CHIyes .
    CHIthey are .
  6. MOTno .
    MOTI don't think they're new .
    MOT*MOT: are they ?
    CHI<are they> [/] are they new ?
    CHIare these new ?
  7. MOTwe haven't got +//.
    MOTlook .
    MOT*MOT: the only ducks we've got are the ducks you have in your bag .
    MOTthey're a bit big , aren't they ?
    CHIquack@o .
  8. CHIyes .
    MOTno .
    MOT*MOT: I don't think there are any horses in there .
    MOTno .
    MOTyou've got a horse .
  9. INValright then .
    INVoff I go .
    INV*INV: are you the doctor ?
    CHIwhat ?
    CHIare you the doctor then ?
  10. MOTyou're putting what on ?
    CHIxxx .
    MOT*MOT: where are you ?
    CHII pressed that .
    MOTyou've pressed the green button , have you ?
  11. CHIit's raining down .
    CHInow .
    MOT*MOT: what are the buttons for , Becky ?
    CHIthey for pressing it off .
    MOTgetting what off ?
  12. MOTthe rain ?
    CHIyeah .
    MOT*MOT: are they ?
    CHIyes .
    MOToh .
  13. INVsorry .
    MOTthere .
    MOT*MOT: there you are .
    CHIgrrr@o .
    CHIwhat can I have again ?

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. Becky eng_british_Manchester_I9.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky29b.chaBecky 2;10.111,43913139.03

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. are13 · 100.0%