PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

4.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (649 utterances, 2,359 words searched).

  1. shall we have her out now before she gets really cold and you can dry her . MOT · eng_british_Manchester_II/nic12a.cha, line 388 · Nicole 2;04
  2. are you going to <give her> [//] dry her ? MOT · eng_british_Manchester_II/nic12a.cha, line 432 · Nicole 2;04
  3. are you going to dry Morag ? MOT · eng_british_Manchester_II/nic12a.cha, line 436 · Nicole 2;04
  4. are you going to pick her arm up and dry her arm ? MOT · eng_british_Manchester_II/nic12a.cha, line 452 · Nicole 2;04
  5. she's not dry yet , look , Nicole . MOT · eng_british_Manchester_II/nic12a.cha, line 492 · Nicole 2;04
  6. dry her nicely . MOT · eng_british_Manchester_II/nic12a.cha, line 631 · Nicole 2;04
  7. are you dry ? INV · eng_british_Manchester_II/nic12a.cha, line 813 · Nicole 2;04
  8. you're dry now . INV · eng_british_Manchester_II/nic12a.cha, line 825 · Nicole 2;04
  9. Morag's dry , isn't she ? INV · eng_british_Manchester_II/nic12a.cha, line 829 · Nicole 2;04
  10. Morag's a bit dry , is she ? INV · eng_british_Manchester_II/nic12a.cha, line 833 · Nicole 2;04
  11. she's a lot dry I think . INV · eng_british_Manchester_II/nic12a.cha, line 837 · Nicole 2;04
  1. INVwhat've you done to Morag ?
    MOTmmhm .
    MOT*MOT: shall we have her out now before she gets really cold and you can dry her .
    CHIyeah .
    MOThmm ?
  2. INVoh .
    INVbetter now .
    MOT*MOT: are you going to <give her> [//] dry her ?
    MOThey ?
    MOTare you going to dry Morag ?
  3. MOTare you going to <give her> [//] dry her ?
    MOThey ?
    MOT*MOT: are you going to dry Morag ?
    CHIno thanks .
    CHIall done .
  4. MOTthat's right .
    MOTthat's right .
    MOT*MOT: are you going to pick her arm up and dry her arm ?
    CHIno .
    MOThmm ?
  5. CHII xxx .
    MOTwell .
    MOT*MOT: she's not dry yet , look , Nicole .
    CHIyeah .
    MOTshe isn't , look .
  6. CHINicole do it .
    MOTyeah .
    MOT*MOT: dry her nicely .
    MOTthere .
    CHIbetter now .
  7. INVare you wet ?
    CHIno .
    INV*INV: are you dry ?
    CHIyeah .
    MOTgood .
  8. CHIyeah .
    CHII dry # now .
    INV*INV: you're dry now .
    INVyes .
    INVMorag's dry , isn't she ?
  9. INVyou're dry now .
    INVyes .
    INV*INV: Morag's dry , isn't she ?
    CHIum a bit dry .
    INVMorag's a bit dry , is she ?
  10. INVMorag's dry , isn't she ?
    CHIum a bit dry .
    INV*INV: Morag's a bit dry , is she ?
    CHIyeah .
    INVshe's a lot dry I think .
  11. INVMorag's a bit dry , is she ?
    CHIyeah .
    INV*INV: she's a lot dry I think .
    CHIxxx .
    MOTwhat's the matter ?

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. Nicole eng_british_Manchester_II4.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic12a.chaNicole 2;4.212,35911114.66

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. dry11 · 100.0%