PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

7.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (588 utterances, 2,109 words searched).

  1. Nicole . MOT · eng_british_Manchester_II/nic01b.cha, line 56 · Nicole 2;00
  2. oh Nicole . MOT · eng_british_Manchester_II/nic01b.cha, line 84 · Nicole 2;00
  3. Nicole ? MOT · eng_british_Manchester_II/nic01b.cha, line 116 · Nicole 2;00
  4. Nicole . INV · eng_british_Manchester_II/nic01b.cha, line 190 · Nicole 2;00
  5. Nicole . MOT · eng_british_Manchester_II/nic01b.cha, line 465 · Nicole 2;00
  6. is it a hot+dog , Nicole ? MOT · eng_british_Manchester_II/nic01b.cha, line 839 · Nicole 2;00
  7. you [/] we [/] we all know she's poorly by now , Nicole . MOT · eng_british_Manchester_II/nic01b.cha, line 871 · Nicole 2;00
  8. xxx have to be a veggie+burger , Nicole . MOT · eng_british_Manchester_II/nic01b.cha, line 928 · Nicole 2;00
  9. what are those , Nicole ? MOT · eng_british_Manchester_II/nic01b.cha, line 939 · Nicole 2;00
  10. xxx you're not bothered about your beef+burger , are you , Nicole so +... MOT · eng_british_Manchester_II/nic01b.cha, line 964 · Nicole 2;00
  11. can't get it on , Nicole . MOT · eng_british_Manchester_II/nic01b.cha, line 1164 · Nicole 2;00
  12. Nicole . MOT · eng_british_Manchester_II/nic01b.cha, line 1294 · Nicole 2;00
  13. where's Nicole's nose ? MOT · eng_british_Manchester_II/nic01b.cha, line 1321 · Nicole 2;00
  14. what is it , Nicole ? MOT · eng_british_Manchester_II/nic01b.cha, line 1436 · Nicole 2;00
  15. are you going to be an actress when you grow up , Nicole ? MOT · eng_british_Manchester_II/nic01b.cha, line 1719 · Nicole 2;00
  1. MOTwhat is it ?
    CHIxxx .
    MOT*MOT: Nicole .
    MOTwhat's this ?
    CHIxxx .
  2. MOTis that a tiger ?
    CHIyeah .
    MOT*MOT: oh Nicole .
    MOTwhat a noise .
    MOTthis is a tiger .
  3. MOTwhat's this ?
    MOTthis a giraffe ?
    MOT*MOT: Nicole ?
    MOTthis a giraffe ?
    CHIyeah .
  4. CHIum # xxx .
    CHINicole .
    INV*INV: Nicole .
    INVand what about Mummy ?
    CHIxxx .
  5. MOTno ?
    MOTyou just like taking it apart , don't you ?
    MOT*MOT: Nicole .
    MOTdo you like taking it apart ?
    CHIyeah .
  6. MOTis it a hot+dog ?
    MOTyou like hot+dogs , don't you ?
    MOT*MOT: is it a hot+dog , Nicole ?
    CHIno .
    MOTwhat is it then ?
  7. MOTwww .
    MOTwhat about Lucy ?
    MOT*MOT: you [/] we [/] we all know she's poorly by now , Nicole .
    MOTwhat else have we got in here ?
    MOToh .
  8. INVwe might well have lost the beef+burger .
    MOTI think we've lost the beef .
    MOT*MOT: xxx have to be a veggie+burger , Nicole .
    MOTcucumber .
    MOTwhat are those ?
  9. CHIum +...
    MOTwhat are those ?
    MOT*MOT: what are those , Nicole ?
    MOTwhat are they ?
    CHIegg .
  10. MOTtomato .
    CHIyeah .
    MOT*MOT: xxx you're not bothered about your beef+burger , are you , Nicole so +...
    MOTnever had one .
    MOTwhat you've never had you've never missed .
  11. MOTput the dress over her head , look .
    CHIxxx .
    MOT*MOT: can't get it on , Nicole .
    MOTflipping velcro .
    MOTit's all stuck .
  12. MOTthat's right .
    CHINicole .
    MOT*MOT: Nicole .
    CHIhair .
    MOTCaroline's hair .
  13. INVthose are your hands .
    MOTthere .
    MOT*MOT: where's Nicole's nose ?
    CHIthere .
    MOTcan you say nose ?
  14. MOTwhat's that ?
    CHIxxx .
    MOT*MOT: what is it , Nicole ?
    CHIxxx .
    CHIno .
  15. MOTare you a tired little girl ?
    MOToh I think this is a bit of dramatics .
    MOT*MOT: are you going to be an actress when you grow up , Nicole ?
    MOThmm ?
    MOTcan you say cuddle ?

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_II7.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic01b.chaNicole 2;0.252,10915157.11

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. nicole15 · 100.0%