PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

5.90 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (608 utterances, 2,371 words searched).

  1. have you got it ? MOT · eng_british_Manchester_I/anne12b.cha, line 71 · Anne 2;01
  2. what a lot of stuff you'll have in your bag ,, willn't you ? MOT · eng_british_Manchester_I/anne12b.cha, line 188 · Anne 2;01
  3. shall we have some dinner ? MOT · eng_british_Manchester_I/anne12b.cha, line 259 · Anne 2;01
  4. shall we have a look at the Duplo ? MOT · eng_british_Manchester_I/anne12b.cha, line 346 · Anne 2;01
  5. well you can have a drink in a bit . MOT · eng_british_Manchester_I/anne12b.cha, line 887 · Anne 2;01
  6. when we've finished playing with Rachel's toys we'll have a drink . MOT · eng_british_Manchester_I/anne12b.cha, line 893 · Anne 2;01
  7. we'll have a drink when we've finished playing with Rachel'stoys . MOT · eng_british_Manchester_I/anne12b.cha, line 902 · Anne 2;01
  8. have you got Ribena in your face ? MOT · eng_british_Manchester_I/anne12b.cha, line 990 · Anne 2;01
  9. except we haven't got a baby at our house though ,, have we ? MOT · eng_british_Manchester_I/anne12b.cha, line 1286 · Anne 2;01
  10. we have . MOT · eng_british_Manchester_I/anne12b.cha, line 1293 · Anne 2;01
  11. have we finished reading that book ? MOT · eng_british_Manchester_I/anne12b.cha, line 1370 · Anne 2;01
  12. have you nearly got them all off ? MOT · eng_british_Manchester_I/anne12b.cha, line 1605 · Anne 2;01
  13. where have we seen a bucket . MOT · eng_british_Manchester_I/anne12b.cha, line 1690 · Anne 2;01
  14. you have a good look . MOT · eng_british_Manchester_I/anne12b.cha, line 1712 · Anne 2;01
  1. CHIxxx touch it .
    MOToh .
    MOT*MOT: have you got it ?
    CHIwhoops .
    CHIbuy some at shop .
  2. CHIxxx again .
    MOT<you're going> [/] you're going to the shop again ?
    MOT*MOT: what a lot of stuff you'll have in your bag ,, willn't you ?
    MOThmm ?
    CHImmhm .
  3. MOTall gone .
    MOTright .
    MOT*MOT: shall we have some dinner ?
    MOTchips .
    MOTdelicious .
  4. CHIsnooze .
    MOToh another snooze .
    MOT*MOT: shall we have a look at the Duplo ?
    CHIno .
    MOTno ?
  5. MOT+" xxx swishing .
    CHII [* 0would] like a drink .
    MOT*MOT: well you can have a drink in a bit .
    CHIdrink cup .
    MOTlisten .
  6. CHIdrink cup .
    MOTlisten .
    MOT*MOT: when we've finished playing with Rachel's toys we'll have a drink .
    CHIno .
    MOTyeah .
  7. MOTyeah .
    CHIno [=! cries] .
    MOT*MOT: we'll have a drink when we've finished playing with Rachel'stoys .
    CHIno .
    MOTyou want one now do you ?
  8. CHIno .
    MOToh dear .
    MOT*MOT: have you got Ribena in your face ?
    MOThmm ?
    MOTare you tired ?
  9. CHIMummy's # baby upstairs .
    MOTMummy's taking baby up .
    MOT*MOT: except we haven't got a baby at our house though ,, have we ?
    CHIyeah .
    MOTall right .
  10. CHIyeah .
    MOTall right .
    MOT*MOT: we have .
    CHIbaby .
    CHIAnne's got a baby too .
  11. MOTand Anne's going back to sleep again .
    CHIxxx .
    MOT*MOT: have we finished reading that book ?
    CHIyeah .
    MOTyeah ?
  12. MOTcalled a vet .
    MOTand this horse is having some new shoes .
    MOT*MOT: have you nearly got them all off ?
    MOTwhat are you gonna [: going to] do with <that now> [//] that rubbish now ?
    MOTwhat're you going to do with it ?
  13. CHIbucket .
    MOTright .
    MOT*MOT: where have we seen a bucket .
    CHIoh dear .
    MOToh dear .
  14. CHIwhere ?
    MOTon this picture .
    MOT*MOT: you have a good look .
    CHIoh there .
    MOTI can see it .

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. Anne eng_british_Manchester_I5.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne12b.chaAnne 2;1.222,37114145.90

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. have14 · 100.0%