PHPCLANCHILDES with regular expressions

14 matches in 12 utterances

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

  1. we've got xxx +... GRA · bilingual_eng_Deuchar/871126eg.cha, line 48 · M 2;05
  2. we just play in this area then . GRA · bilingual_eng_Deuchar/871126eg.cha, line 51 · M 2;05
  3. you clever thing # shall we take that off ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 200 · M 2;05
  4. what shall we put there # dog # no # I think it's a bit high up for dog isn't it ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 249 · M 2;05
  5. <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
  6. never mind soon we'll pick it up # can't we ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 317 · M 2;05
  7. never mind soon we'll pick it up # can't we ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 317 · M 2;05
  8. shall we have another one ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 1118 · M 2;05
  9. mmm # we put this on here then # they could pull it along couldn't they ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 1185 · M 2;05
  10. <wait a minute> [<] oh xxx we are here it is . GRA · bilingual_eng_Deuchar/871126eg.cha, line 1261 · M 2;05
  11. what shall we do ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 1303 · M 2;05
  12. tell Kim her coffee is there shall we ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 1308 · M 2;05
  13. I don't know # we've better tell her haven't we ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 1321 · M 2;05
  14. I don't know # we've better tell her haven't we ? GRA · bilingual_eng_Deuchar/871126eg.cha, line 1321 · M 2;05
  1. GRAhere # just let +...
    GRAjust [/] just it'll run itself and +...
    GRA*GRA: we've got xxx +...
    GRAis that near enough ?
    MOTyes # I think so .
  2. GRAis that near enough ?
    MOTyes # I think so .
    GRA*GRA: we just play in this area then .
    MOTyes .
    MOTum +...
  3. CHIlook # one more !
    GRAooh # oh !
    GRA*GRA: you clever thing # shall we take that off ?
    CHIyes .
    GRAthat's all right .
  4. 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 ?
  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. GRAoh dear !
    CHIour train's fallen down .
    GRA*GRA: never mind soon we'll pick it up # can't we ?
    CHIget .
    CHItrain .
  7. CHIbaaa baaa black sheep have you any wool # yes sir yes sir three bags full # one for the master one for the dame and one for the little girl who lives down the lane .
    GRAoh yes [=! laughs] !
    GRA*GRA: shall we have another one ?
    GRAthat's all right # now what about another one ?
    CHII've done nut tree .
  8. GRAxxx .
    CHIno # oh down now down .
    GRA*GRA: mmm # we put this on here then # they could pull it along couldn't they ?
    CHIyyy [>] .
    GRA<go on> [<] .
  9. GRAoh no in <mummy's house> [//] mummy's and daddy's house # I'm wondering where it was # it's not there .
    CHIwhat [//] where is yyy [>] last week .
    GRA*GRA: <wait a minute> [<] oh xxx we are here it is .
    CHIwhere is it # where ?
    GRAmmhm ?
  10. 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 ?
  11. CHIyes .
    GRAoh there's some coffee # is that Kim's coffee [//] xxx coffee ?
    GRA*GRA: tell Kim her coffee is there shall we ?
    CHIwhere's coffee ?
    GRAthere it is .
  12. GRAfor Kim .
    CHIwhere's Kim ?
    GRA*GRA: I don't know # we've better tell her haven't we ?
    CHIah !
    GRAdo you like to find her ?

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;5.021,057121413.25

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. we14 · 100.0%