PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

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

  1. <we'll do> [//] we'll have this for a while and then we'll change to the other microphone # we'l… MOT · bilingual_eng_Deuchar/861023eg.cha, line 71 · M 1;03
  2. <right # we might have a pause> [>] . MOT · bilingual_eng_Deuchar/861023eg.cha, line 255 · M 1;03
  3. <I think yes we will have a pause alright> [?] . MOT · bilingual_eng_Deuchar/861023eg.cha, line 256 · M 1;03
  4. let's have a xxx with panda # all right . MOT · bilingual_eng_Deuchar/861023eg.cha, line 286 · M 1;03
  5. ooh # have a look and see what else is in there # mmm ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 320 · M 1;03
  6. which I think she must have got <by looking at um> [//] by hearing clock . MOT · bilingual_eng_Deuchar/861023eg.cha, line 452 · M 1;03
  7. yes [<] # she might have done # yes . GRA · bilingual_eng_Deuchar/861023eg.cha, line 455 · M 1;03
  8. you changed his <name have you> [>] ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 505 · M 1;03
  9. <we didn't have time> [>] . GRA · bilingual_eng_Deuchar/861023eg.cha, line 627 · M 1;03
  10. <what have you got there> [<] ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 628 · M 1;03
  11. yes # <let's have a look to see> [//] we haven't had a proper look at this book and I l… GRA · bilingual_eng_Deuchar/861023eg.cha, line 646 · M 1;03
  12. can I have it M ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 669 · M 1;03
  13. we haven't had any sounds have we ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 815 · M 1;03
  14. you'd have had a lot of um +... GRA · bilingual_eng_Deuchar/861023eg.cha, line 824 · M 1;03
  1. bilingual_eng_Deuchar/861023eg.cha, line 71 · M, 1;3.29
    GRAthat's right .
    GRAthat's M's # ball isn't it ?
    MOT*MOT: <we'll do> [//] we'll have this for a while and then we'll change to the other microphone # we'll see .
    GRAall right .
    CHIyyy .
  2. bilingual_eng_Deuchar/861023eg.cha, line 255 · M, 1;3.29
    CHIyyy .
    MOTwho's that ?
    MOT*MOT: <right # we might have a pause> [>] .
    MOT<I think yes we will have a pause alright> [?] .
    CHIyyy [<] .
  3. bilingual_eng_Deuchar/861023eg.cha, line 256 · M, 1;3.29
    MOTwho's that ?
    MOT<right # we might have a pause> [>] .
    MOT*MOT: <I think yes we will have a pause alright> [?] .
    CHIyyy [<] .
    GRAyes you do look nice .
  4. bilingual_eng_Deuchar/861023eg.cha, line 286 · M, 1;3.29
    MOTnever mind .
    GRAgranny's bony knee xxx .
    MOT*MOT: let's have a xxx with panda # all right .
    MOTxxx this is a funny shape isn't it ?
    MOTwhat is this ?
  5. 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 ?
  6. bilingual_eng_Deuchar/861023eg.cha, line 452 · M, 1;3.29
    CHIyyy .
    MOTthat's why you said that could be a &ga isn't it ?
    MOT*MOT: which I think she must have got <by looking at um> [//] by hearing clock .
    GRA<I don't know> [>] .
    GRAyes [<] # she might have done # yes .
  7. bilingual_eng_Deuchar/861023eg.cha, line 455 · M, 1;3.29
    MOTwhich I think she must have got <by looking at um> [//] by hearing clock .
    GRA<I don't know> [>] .
    GRA*GRA: yes [<] # she might have done # yes .
    MOTshe spent one entire meal at the university pointing to the clock on the wall and saying &ga .
    GRAdid she ?
  8. bilingual_eng_Deuchar/861023eg.cha, line 505 · M, 1;3.29
    MOT<you don't say da ["] usually> [?] .
    CHIyyy .
    MOT*MOT: you changed his <name have you> [>] ?
    GRAwhat is it [<] ?
    MOTpanda [>] .
  9. bilingual_eng_Deuchar/861023eg.cha, line 627 · M, 1;3.29
    GRAwe've been in there once but +/.
    CHIyyy .
    GRA*GRA: <we didn't have time> [>] .
    MOT<what have you got there> [<] ?
    GRAoh !
  10. bilingual_eng_Deuchar/861023eg.cha, line 628 · M, 1;3.29
    CHIyyy .
    GRA<we didn't have time> [>] .
    MOT*MOT: <what have you got there> [<] ?
    GRAoh !
    GRAwho are they ?
  11. 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 .
  12. bilingual_eng_Deuchar/861023eg.cha, line 669 · M, 1;3.29
    MOTGranny'll look <after it> [>] for mummy .
    GRA<come and look> [<] .
    GRA*GRA: can I have it M ?
    GRAplease ?
    GRAthank you .
  13. bilingual_eng_Deuchar/861023eg.cha, line 815 · M, 1;3.29
    MOTright .
    MOTjust would you please say &da &da &da to the microphone ?
    MOT*MOT: we haven't had any sounds have we ?
    CHI0.
    MOTsay &da &da &da .
  14. bilingual_eng_Deuchar/861023eg.cha, line 824 · M, 1;3.29
    GRAI tell you what you were xxx like this morning in her high chair if you had a mike around .
    MOTmmhmm .
    GRA*GRA: you'd have had a lot of um +...
    MOTwell you see one [//] the good thing about this is that she can go all over the place [>] .
    GRAyes [<] .

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_Deuchar8.70
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861023eg.chaM 1;3.291,60914148.70

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%