PHPCLANCHILDES with regular expressions

19 matches in 18 utterances

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

  1. <xxx with some mummies> [<] . GRA · bilingual_eng_Deuchar/870402eg.cha, line 210 · M 1;09
  2. here're some . GRA · bilingual_eng_Deuchar/870402eg.cha, line 261 · M 1;09
  3. you've got another book M # can you bring # you rather have some toys ? GRA · bilingual_eng_Deuchar/870402eg.cha, line 315 · M 1;09
  4. and there some boots . GRA · bilingual_eng_Deuchar/870402eg.cha, line 476 · M 1;09
  5. <here we are> [<] # here are some pictures . GRA · bilingual_eng_Deuchar/870402eg.cha, line 498 · M 1;09
  6. or you want some toys ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 816 · M 1;09
  7. … spit M # I told you not to spit # we get it another time # let's get some xxx instead . MOT · bilingual_eng_Deuchar/870402eg.cha, line 914 · M 1;09
  8. no another time when you're not spitting # let's get some toys to share them with granny # shall we # get some lego # hmm ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 920 · M 1;09
  9. …ting # let's get some toys to share them with granny # shall we # get some lego # hmm ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 920 · M 1;09
  10. mummy's going to get some more toys in a minute # all right ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 1120 · M 1;09
  11. we had a bit of fun over some picture of a <little girl who had> [>] a hat # had pompon . GRA · bilingual_eng_Deuchar/870402eg.cha, line 1378 · M 1;09
  12. all right let's see if we've got some more pictures # shall we ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 1394 · M 1;09
  13. you had enough or you want some more ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 1477 · M 1;09
  14. mummy's going to do some work . MOT · bilingual_eng_Deuchar/870402eg.cha, line 1621 · M 1;09
  15. …h with mummy # will we # what shall we have for lunch # shall we have some quiche ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 1627 · M 1;09
  16. you like some quiche ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 1632 · M 1;09
  17. you think granny would like some quiche ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 1636 · M 1;09
  18. would you like to ask her # say granny would you like some quiche ? MOT · bilingual_eng_Deuchar/870402eg.cha, line 1641 · M 1;09
  19. thank you M granny would like some quiche # wouldn't she ? GRA · bilingual_eng_Deuchar/870402eg.cha, line 1645 · M 1;09
  1. CHImummy .
    MOTmm # <there's a mummy> [>] .
    GRA*GRA: <xxx with some mummies> [<] .
    CHINona .
    MOTah Nona # that must look a bit like Nora # <great aunt Nora> [>] .
  2. CHIniña .
    MOTlittle girl .
    GRA*GRA: here're some .
    CHIyyy .
    MOTlego girl isn't it ?
  3. GRAand the tomato .
    MOTmummy's coming .
    GRA*GRA: you've got another book M # can you bring # you rather have some toys ?
    MOToh here's the book # would you like to show granny the book # hmm ?
    MOTM could you take this book to granny please ?
  4. GRAyes .
    MOTmm .
    GRA*GRA: and there some boots .
    CHIniña .
    GRAanother one # there's a +...
  5. CHIpicture .
    CHIpicture [>] .
    GRA*GRA: <here we are> [<] # here are some pictures .
    CHIpicture .
    GRA<oh yes> [>] .
  6. MOTanother book ?
    CHIanother book .
    MOT*MOT: or you want some toys ?
    CHIno books .
    GRAbook # find a book then # we haven't had this one have we ?
  7. MOTno # xxx another time .
    CHI0.
    MOT*MOT: I told you not to spit M # I told you not to spit # we get it another time # let's get some xxx instead .
    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 ?
  8. MOTI told you not to spit M # I told you not to spit # we get it another time # let's get some xxx instead .
    CHIbook .
    MOT*MOT: no another time when you're not spitting # let's get some toys to share them with granny # shall we # get some lego # hmm ?
    MOTyou like to take the lego to show granny # hmm ?
    MOTmummy coming # let me take you then .
  9. CHIgranny [<] .
    CHIoh dear !
    MOT*MOT: mummy's going to get some more toys in a minute # all right ?
    CHItoy .
    GRAsend that back to granny # that's it # oooh thank you # now back to M oooeeeh # now you send it back to granny # ooh # and back to M # back yo granny # oooh !
  10. CHImm .
    GRAhas he got a pompon on his hat ?
    GRA*GRA: we had a bit of fun over some picture of a <little girl who had> [>] a hat # had pompon .
    CHIpompon hat .
    MOT0.
  11. GRAgot a hat hasn't it and a scarf .
    CHIscarf .
    MOT*MOT: all right let's see if we've got some more pictures # shall we ?
    CHImore pictures .
    GRA0.
  12. MOTwhat a lot of clocks .
    GRAyes .
    MOT*MOT: you had enough or you want some more ?
    CHImore .
    MOTmore .
  13. MOTwhere are you going to go # hmm ?
    CHImummy .
    MOT*MOT: mummy's going to do some work .
    GRAdoes granny take you out # granny and M go to the park ?
    CHImummy .
  14. CHImummy .
    GRAthat'll be nice # and then come back to mummy .
    MOT*MOT: mummy [//] can we have lunch with mummy # will we # what shall we have for lunch # shall we have some quiche ?
    CHIquiche .
    MOTyou like some quiche ?
  15. 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 ?
  16. MOTyou like some quiche ?
    CHIyes .
    MOT*MOT: you think granny would like some quiche ?
    CHIyes .
    GRAoh yes .
  17. 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 ?
  18. 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_Deuchar7.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870402eg.chaM 1;9.092,65718197.15

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. some19 · 100.0%