PHPCLANCHILDES with regular expressions

10 matches in 9 utterances

6.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (364 utterances, 1,609 words searched).

  1. well I shall look <in my diary> [>] . MOT · bilingual_eng_Deuchar/861023eg.cha, line 98 · M 1;03
  2. yes you do look nice . GRA · bilingual_eng_Deuchar/861023eg.cha, line 261 · M 1;03
  3. look ! MOT · bilingual_eng_Deuchar/861023eg.cha, line 301 · M 1;03
  4. ooh # have a look and see what else is in there # mmm ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 320 · M 1;03
  5. <yes I think those> [//] these are a little bit xxx # oh look ! GRA · bilingual_eng_Deuchar/861023eg.cha, line 329 · M 1;03
  6. look at them with glasses . MOT · bilingual_eng_Deuchar/861023eg.cha, line 556 · M 1;03
  7. yes # <let's have a look to see> [//] we haven't had a proper look at this book and I like thi… GRA · bilingual_eng_Deuchar/861023eg.cha, line 646 · M 1;03
  8. yes # <let's have a look to see> [//] we haven't had a proper look at this book and I like this book very much . GRA · bilingual_eng_Deuchar/861023eg.cha, line 646 · M 1;03
  9. Granny'll look <after it> [>] for mummy . MOT · bilingual_eng_Deuchar/861023eg.cha, line 667 · M 1;03
  10. <come and look> [<] . GRA · bilingual_eng_Deuchar/861023eg.cha, line 668 · M 1;03
  1. bilingual_eng_Deuchar/861023eg.cha, line 98 · M, 1;3.29
    MOTtwenty second I think .
    GRAtwenty third I think .
    MOT*MOT: well I shall look <in my diary> [>] .
    GRAtwenty fourth tomorrow is <her # um>[>] +...
    MOT<you're quite right> [<] .
  2. bilingual_eng_Deuchar/861023eg.cha, line 261 · M, 1;3.29
    MOT<I think yes we will have a pause alright> [?] .
    CHIyyy [<] .
    GRA*GRA: yes you do look nice .
    GRAand that is # mummy # mum .
    GRAwho's it ?
  3. bilingual_eng_Deuchar/861023eg.cha, line 301 · M, 1;3.29
    CHIzzz .
    MOTdo you want to see some more ?
    MOT*MOT: look !
    CHIyyy .
    MOTwhat's this ?
  4. bilingual_eng_Deuchar/861023eg.cha, line 320 · M, 1;3.29
    CHIzzz .
    GRAwhat is it ?
    MOT*MOT: ooh # have a look and see what else is in there # mmm ?
    CHIyyy .
    MOTwhat's that ?
  5. bilingual_eng_Deuchar/861023eg.cha, line 329 · M, 1;3.29
    MOTis it ?
    GRAwhere else is a car ?
    GRA*GRA: <yes I think those> [//] these are a little bit xxx # oh look !
    CHIno .
    MOTno .
  6. bilingual_eng_Deuchar/861023eg.cha, line 556 · M, 1;3.29
    MOTand who's that ?
    MOTwho's that funny face ?
    MOT*MOT: look at them with glasses .
    CHIyyy .
    MOTGranny .
  7. bilingual_eng_Deuchar/861023eg.cha, line 646 · M, 1;3.29
    MOTok .
    MOTnow are you going to show Granny anything else xxx ?
    GRA*GRA: yes # <let's have a look to see> [//] we haven't had a proper look at this book and I like this book very much .
    GRAcould you come and show me M ?
    MOTyes .
  8. bilingual_eng_Deuchar/861023eg.cha, line 667 · M, 1;3.29
    CHIyyy .
    MOTgive it to Granny .
    MOT*MOT: Granny'll look <after it> [>] for mummy .
    GRA<come and look> [<] .
    GRAcan I have it M ?
  9. bilingual_eng_Deuchar/861023eg.cha, line 668 · M, 1;3.29
    MOTgive it to Granny .
    MOTGranny'll look <after it> [>] for mummy .
    GRA*GRA: <come and look> [<] .
    GRAcan I have it M ?
    GRAplease ?

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. M bilingual_eng_Deuchar6.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861023eg.chaM 1;3.291,6099106.22

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. look10 · 100.0%