PHPCLANCHILDES with regular expressions

16 matches in 14 utterances

6.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (506 utterances, 2,657 words searched).

  1. would you like Natty's book ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 27 · M 1;09
  2. oh yes we like Natty's book don't we # we like Natty's book very much # now we must … GRA · bilingual_eng_Deuchar/870402eg.cha, line 29 · M 1;09
  3. oh yes we like Natty's book don't we # we like Natty's book very much # now we must turn you round <mustn't we> [>] … GRA · bilingual_eng_Deuchar/870402eg.cha, line 29 · M 1;09
  4. pan # oh this is a panda # <this looks a bit like a panda> [<] . MOT · bilingual_eng_Deuchar/870402eg.cha, line 120 · M 1;09
  5. ah Nona # that must look a bit like Nora # <great aunt Nora> [>] . MOT · bilingual_eng_Deuchar/870402eg.cha, line 214 · M 1;09
  6. <it looks a bit like aunt xxx> [<] oh Nora # yes . GRA · bilingual_eng_Deuchar/870402eg.cha, line 215 · M 1;09
  7. oh here's the book # would you like to show granny the book # hmm ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 317 · M 1;09
  8. you like to take the lego to show granny # hmm ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 922 · M 1;09
  9. ego # carry yes # I <like lego> [>] . GRA · bilingual_eng_Deuchar/870402eg.cha, line 939 · M 1;09
  10. they're like here # what are those here # here look at mummy's . MOT · bilingual_eng_Deuchar/870402eg.cha, line 1308 · M 1;09
  11. …nt more pictures # just a few more there # then I expect granny would like to take you out . MOT · bilingual_eng_Deuchar/870402eg.cha, line 1602 · M 1;09
  12. you like some quiche ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 1632 · M 1;09
  13. you think granny would like some quiche ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 1636 · M 1;09
  14. would you like to ask her # say granny would you like some quiche ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 1641 · M 1;09
  15. would you like to ask her # say granny would you like some quiche ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 1641 · M 1;09
  16. thank you M granny would like some quiche # wouldn't she ? GRA · bilingual_eng_Deuchar/870402eg.cha, line 1645 · M 1;09
  1. bilingual_eng_Deuchar/870402eg.cha, line 27 · M, 1;9.09
    GRA<where's your books> [/] # where's your books ?
    MOTwhat about Natty's book ?
    MOT*MOT: would you like Natty's book ?
    GRAoh yes we like Natty's book don't we # we like Natty's book very much # now we must turn you round <mustn't we> [>] ?
    CHImummy [<] .
  2. bilingual_eng_Deuchar/870402eg.cha, line 29 · M, 1;9.09
    MOTwhat about Natty's book ?
    MOTwould you like Natty's book ?
    GRA*GRA: oh yes we like Natty's book don't we # we like Natty's book very much # now we must turn you round <mustn't we> [>] ?
    CHImummy [<] .
    MOTmummy's here as well .
  3. bilingual_eng_Deuchar/870402eg.cha, line 120 · M, 1;9.09
    MOThmm ?
    CHIpanda [>] .
    MOT*MOT: pan # oh this is a panda # <this looks a bit like a panda> [<] .
    GRAoh is it a panda ?
    MOTwell it's got a white face and a black body .
  4. bilingual_eng_Deuchar/870402eg.cha, line 214 · M, 1;9.09
    GRA<xxx with some mummies> [<] .
    CHINona .
    MOT*MOT: ah Nona # that must look a bit like Nora # <great aunt Nora> [>] .
    GRA<it looks a bit like aunt xxx> [<] oh Nora # yes .
    CHINora .
  5. bilingual_eng_Deuchar/870402eg.cha, line 215 · M, 1;9.09
    CHINona .
    MOTah Nona # that must look a bit like Nora # <great aunt Nora> [>] .
    GRA*GRA: <it looks a bit like aunt xxx> [<] oh Nora # yes .
    CHINora .
    CHIChristopher .
  6. bilingual_eng_Deuchar/870402eg.cha, line 317 · M, 1;9.09
    MOTmummy's coming .
    GRAyou've got another book M # can you bring # you rather have some toys ?
    MOT*MOT: oh here's the book # would you like to show granny the book # hmm ?
    MOTM could you take this book to granny please ?
    CHIsi .
  7. bilingual_eng_Deuchar/870402eg.cha, line 922 · M, 1;9.09
    CHIbook .
    MOTno another time when you're not spitting # let's get some toys to share them with granny # shall we # get some lego # hmm ?
    MOT*MOT: you like to take the lego to show granny # hmm ?
    MOTmummy coming # let me take you then .
    CHIM .
  8. bilingual_eng_Deuchar/870402eg.cha, line 939 · M, 1;9.09
    CHIlego .
    MOTlego .
    GRA*GRA: ego # carry yes # I <like lego> [>] .
    CHIyyy [<] .
    GRAyes # thank you darling # what are we going to make # who's in here ?
  9. bilingual_eng_Deuchar/870402eg.cha, line 1308 · M, 1;9.09
    MOTwhat [/] what are those ?
    CHIyyy .
    MOT*MOT: they're like here # what are those here # here look at mummy's .
    CHIteeth .
    MOTteeth !
  10. bilingual_eng_Deuchar/870402eg.cha, line 1602 · M, 1;9.09
    MOTyes .
    CHImummy .
    MOT*MOT: you still want more pictures # just a few more there # then I expect granny would like to take you out .
    GRAwould you go out in the buggy soon ?
    CHImummy .
  11. bilingual_eng_Deuchar/870402eg.cha, line 1632 · M, 1;9.09
    MOTmummy [//] can we have lunch with mummy # will we # what shall we have for lunch # shall we have some quiche ?
    CHIquiche .
    MOT*MOT: you like some quiche ?
    CHIyes .
    MOTyou think granny would like some quiche ?
  12. bilingual_eng_Deuchar/870402eg.cha, line 1636 · M, 1;9.09
    MOTyou like some quiche ?
    CHIyes .
    MOT*MOT: you think granny would like some quiche ?
    CHIyes .
    GRAoh yes .
  13. bilingual_eng_Deuchar/870402eg.cha, line 1641 · M, 1;9.09
    CHIyes .
    GRAoh yes .
    MOT*MOT: would you like to ask her # say granny would you like some quiche ?
    CHIgranny quiche .
    GRAthank you M granny would like some quiche # wouldn't she ?
  14. bilingual_eng_Deuchar/870402eg.cha, line 1645 · M, 1;9.09
    MOTwould you like to ask her # say granny would you like some quiche ?
    CHIgranny quiche .
    GRA*GRA: thank you M granny would like some quiche # wouldn't she ?
    MOTright last pictures then # and then you xxx [>] .
    GRAah [<] now who's that ?

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_Deuchar6.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870402eg.chaM 1;9.092,65714166.02

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.

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