PHPCLANCHILDES with regular expressions

14 matches in 13 utterances

13.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (226 utterances, 1,057 words searched).

  1. what ? MOT · bilingual_eng_Deuchar/871126eg.cha, line 17 · M 2;05
  2. what would that look li(ke) # oohee careful ! GRA · bilingual_eng_Deuchar/871126eg.cha, line 228 · M 2;05
  3. what shall we put there # dog # no # I think it's a bit high up for dog is… GRA · bilingual_eng_Deuchar/871126eg.cha, line 249 · M 2;05
  4. <what a person> [//] what about this person ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 255 · M 2;05
  5. <what a person> [//] what about this person ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 255 · M 2;05
  6. <here we are> [//] here's the little boy # oh look M what Granny's found . GRA · bilingual_eng_Deuchar/871126eg.cha, line 290 · M 2;05
  7. where is what ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 355 · M 2;05
  8. yes [=! laughing] that's all right that's what they can do # can't they ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 461 · M 2;05
  9. what a funny name . GRA · bilingual_eng_Deuchar/871126eg.cha, line 911 · M 2;05
  10. and what <are their names again> [>] ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 939 · M 2;05
  11. poor Granny's hair # what a lot of hair Granny's got xxx . GRA · bilingual_eng_Deuchar/871126eg.cha, line 964 · M 2;05
  12. that's all right # now what about another one ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 1120 · M 2;05
  13. yes # what about um # teddy bear's picnic ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 1125 · M 2;05
  14. what shall we do ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 1303 · M 2;05
  1. MOT*MOT: what ?
    CHIa big train .
    MOTyou made a big train did you ?
  2. CHIuh .
    GRAcould do that # or put that on the top perhaps .
    GRA*GRA: what would that look li(ke) # oohee careful !
    CHInow .
    GRAthat's it .
  3. GRAthere .
    CHII want this one here .
    GRA*GRA: what shall we put there # dog # no # I think it's a bit high up for dog isn't it ?
    CHIoh here .
    GRA<what a person> [//] what about this person ?
  4. GRAwhat shall we put there # dog # no # I think it's a bit high up for dog isn't it ?
    CHIoh here .
    GRA*GRA: <what a person> [//] what about this person ?
    CHIoh !
    CHIbut she hasn't yyy .
  5. GRAoh dear # it wasn't very clever of Granny was it ?
    CHIwho's this ?
    GRA*GRA: <here we are> [//] here's the little boy # oh look M what Granny's found .
    CHIanother one .
    GRAyou take that off ?
  6. CHIyyy .
    CHIwhere's [/] <where's yyy bed> [//] where's bed ?
    GRA*GRA: where is what ?
    CHIbed .
    CHIa bed .
  7. GRAmmhmm .
    CHIthey don't mmm do row row a boat .
    GRA*GRA: yes [=! laughing] that's all right that's what they can do # can't they ?
    CHIyes .
    GRArow row row the boat .
  8. GRA&SQS .
    CHIyes .
    GRA*GRA: what a funny name .
    CHIAnd that big Boy .
    GRAthat's Boy yes .
  9. CHIand that's named boy .
    GRAI see [=! laughs] .
    GRA*GRA: and what <are their names again> [>] ?
    CHIthere [<] .
    CHIdaddy and mummy .
  10. GRAoh !
    GRAgoo [=! laughs] .
    GRA*GRA: poor Granny's hair # what a lot of hair Granny's got xxx .
    CHIyyy don't do that .
    CHIyour jumper .
  11. GRAoh yes [=! laughs] !
    GRAshall we have another one ?
    GRA*GRA: that's all right # now what about another one ?
    CHII've done nut tree .
    GRAyes # what about um # teddy bear's picnic ?
  12. GRAthat's all right # now what about another one ?
    CHII've done nut tree .
    GRA*GRA: yes # what about um # teddy bear's picnic ?
    CHII've done that one .
    GRAhave you ?
  13. GRAmmm ?
    CHIwhat are you doing in the kitchen ?
    GRA*GRA: what shall we do ?
    CHIyes .
    GRAoh there's some coffee # is that Kim's coffee [//] xxx coffee ?

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_Deuchar13.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/871126eg.chaM 2;5.021,057131413.25

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. what14 · 100.0%