PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (501 utterances, 2,056 words searched).

  1. what did you have to eat at the party ? MOT · eng_british_Manchester_II/nic32b.cha, line 269 · Nicole 2;11
  2. let's have a look then . MOT · eng_british_Manchester_II/nic32b.cha, line 549 · Nicole 2;11
  3. let's have a look . MOT · eng_british_Manchester_II/nic32b.cha, line 557 · Nicole 2;11
  4. when have you not got a runny nose , Nicole ? MOT · eng_british_Manchester_II/nic32b.cha, line 627 · Nicole 2;11
  5. you can have it downstairs . MOT · eng_british_Manchester_II/nic32b.cha, line 924 · Nicole 2;11
  6. so you can have it on your plate to eat it . MOT · eng_british_Manchester_II/nic32b.cha, line 1038 · Nicole 2;11
  7. can I have it then ? MOT · eng_british_Manchester_II/nic32b.cha, line 1054 · Nicole 2;11
  8. when I've got it then I'll have found it . MOT · eng_british_Manchester_II/nic32b.cha, line 1305 · Nicole 2;11
  9. have you got a bad back now ? MOT · eng_british_Manchester_II/nic32b.cha, line 1666 · Nicole 2;11
  10. have you got a bad +/. MOT · eng_british_Manchester_II/nic32b.cha, line 1670 · Nicole 2;11
  1. MOTokay ?
    CHIMummy .
    MOT*MOT: what did you have to eat at the party ?
    CHInothing .
    MOTnothing ?
  2. MOTare you sure ?
    CHIno .
    MOT*MOT: let's have a look then .
    MOTwell .
    MOTput it on the table .
  3. MOTwell .
    MOTput it on the table .
    MOT*MOT: let's have a look .
    MOTsee what there is .
    MOToh .
  4. MOTyou play with it in the car .
    CHIgots [*] runny nose , Mummy .
    MOT*MOT: when have you not got a runny nose , Nicole ?
    CHIlook .
    MOTgood girl .
  5. MOTright then .
    CHIwant downstairs .
    MOT*MOT: you can have it downstairs .
    MOTwould you like Lucy's birthday cake ?
    CHIno .
  6. CHIwhy ?
    MOToh .
    MOT*MOT: so you can have it on your plate to eat it .
    CHIno want it .
    MOTyou just said you wanted your cake and your drinking chocolate .
  7. MOTyou don't ?
    CHIno .
    MOT*MOT: can I have it then ?
    CHImmhm .
    CHIcan .
  8. MOTyou mean what am I looking for .
    MOTnot what am I finding for .
    MOT*MOT: when I've got it then I'll have found it .
    MOTI was looking for my pen .
    CHINicole only joking .
  9. CHIDaddy do bad back .
    CHIme bad back .
    MOT*MOT: have you got a bad back now ?
    MOThey ?
    MOThave you got a bad +/.
  10. MOThave you got a bad back now ?
    MOThey ?
    MOT*MOT: have you got a bad +/.
    CHICoronation_Street time yet ?
    CHICoronation_Street time yet , Mum ?

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_II4.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic32b.chaNicole 2;11.182,05610104.86

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. have10 · 100.0%