PHPCLANCHILDES with regular expressions

22 matches in 22 utterances

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

  1. who's this M ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 85 · M 1;03
  2. who's that ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 86 · M 1;03
  3. who's that little girl ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 88 · M 1;03
  4. who's that ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 121 · M 1;03
  5. who's that ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 122 · M 1;03
  6. who's that ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 187 · M 1;03
  7. that one # <and who's this> [>] ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 226 · M 1;03
  8. <who's that> [<] ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 227 · M 1;03
  9. who's that M ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 231 · M 1;03
  10. who's that ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 242 · M 1;03
  11. who's that ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 253 · M 1;03
  12. who's it ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 263 · M 1;03
  13. who's that ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 268 · M 1;03
  14. who's that ? GRA · bilingual_eng_Deuchar/861023eg.cha, line 340 · M 1;03
  15. who's that ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 533 · M 1;03
  16. and who's that ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 554 · M 1;03
  17. who's that funny face ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 555 · M 1;03
  18. no # and who's this ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 563 · M 1;03
  19. who's this ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 564 · M 1;03
  20. who's this ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 567 · M 1;03
  21. who's this ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 572 · M 1;03
  22. who's this ? MOT · bilingual_eng_Deuchar/861023eg.cha, line 573 · M 1;03
  1. bilingual_eng_Deuchar/861023eg.cha, line 85 · M, 1;3.29
    GRAyes .
    GRAor isn't it # we should've had this new one that I brought .
    GRA*GRA: who's this M ?
    GRAwho's that ?
    MOTah .
  2. bilingual_eng_Deuchar/861023eg.cha, line 86 · M, 1;3.29
    GRAor isn't it # we should've had this new one that I brought .
    GRAwho's this M ?
    GRA*GRA: who's that ?
    MOTah .
    GRAwho's that little girl ?
  3. bilingual_eng_Deuchar/861023eg.cha, line 88 · M, 1;3.29
    GRAwho's that ?
    MOTah .
    GRA*GRA: who's that little girl ?
    GRAis it M ?
    GRAand # grandpa .
  4. bilingual_eng_Deuchar/861023eg.cha, line 121 · M, 1;3.29
    GRAthere we are .
    GRAnow M can get them out .
    GRA*GRA: who's that ?
    GRAwho's that ?
    CHI0.
  5. bilingual_eng_Deuchar/861023eg.cha, line 122 · M, 1;3.29
    GRAnow M can get them out .
    GRAwho's that ?
    GRA*GRA: who's that ?
    CHI0.
    GRAoh that's a nice one .
  6. bilingual_eng_Deuchar/861023eg.cha, line 187 · M, 1;3.29
    GRAooh .
    GRAoh !
    GRA*GRA: who's that ?
    CHIyyy .
    GRAthat's .
  7. bilingual_eng_Deuchar/861023eg.cha, line 226 · M, 1;3.29
    CHIyyy .
    GRAyes .
    MOT*MOT: that one # <and who's this> [>] ?
    GRA<who's that> [<] ?
    MOTyes .
  8. bilingual_eng_Deuchar/861023eg.cha, line 227 · M, 1;3.29
    GRAyes .
    MOTthat one # <and who's this> [>] ?
    GRA*GRA: <who's that> [<] ?
    MOTyes .
    CHI0.
  9. bilingual_eng_Deuchar/861023eg.cha, line 231 · M, 1;3.29
    MOTyes .
    CHI0.
    GRA*GRA: who's that M ?
    CHIyyy .
    MOTright .
  10. bilingual_eng_Deuchar/861023eg.cha, line 242 · M, 1;3.29
    MOTwe expect too much .
    CHIyyy .
    MOT*MOT: who's that ?
    MOTma # did you see mum ?
    MOTwhere is mum ?
  11. bilingual_eng_Deuchar/861023eg.cha, line 253 · M, 1;3.29
    GRAgran ?
    CHIyyy .
    MOT*MOT: who's that ?
    MOT<right # we might have a pause> [>] .
    MOT<I think yes we will have a pause alright> [?] .
  12. bilingual_eng_Deuchar/861023eg.cha, line 263 · M, 1;3.29
    GRAyes you do look nice .
    GRAand that is # mummy # mum .
    GRA*GRA: who's it ?
    MOTright .
    GRAgrandpa .
  13. bilingual_eng_Deuchar/861023eg.cha, line 268 · M, 1;3.29
    GRAgrandpa .
    MOTnow we'll switch to the radio mike .
    GRA*GRA: who's that ?
    CHIyyy .
    GRAgrandpa .
  14. bilingual_eng_Deuchar/861023eg.cha, line 340 · M, 1;3.29
    CHImmm no .
    GRAwhat's that ?
    GRA*GRA: who's that ?
    CHIyyy .
    GRAoh thank you .
  15. bilingual_eng_Deuchar/861023eg.cha, line 533 · M, 1;3.29
    MOTwho are those people ?
    MOTwho are they ?
    MOT*MOT: who's that ?
    CHIyyy .
    GRAI think <she may recognize> [/] she <may recognize> [>] .
  16. bilingual_eng_Deuchar/861023eg.cha, line 554 · M, 1;3.29
    MOTshe's looking at me # comparing with the photo .
    CHIyyy .
    MOT*MOT: and who's that ?
    MOTwho's that funny face ?
    MOTlook at them with glasses .
  17. bilingual_eng_Deuchar/861023eg.cha, line 555 · M, 1;3.29
    CHIyyy .
    MOTand who's that ?
    MOT*MOT: who's that funny face ?
    MOTlook at them with glasses .
    CHIyyy .
  18. bilingual_eng_Deuchar/861023eg.cha, line 563 · M, 1;3.29
    MOTGranny .
    GRAGranny took the glasses off didn't she there ?
    MOT*MOT: no # and who's this ?
    MOTwho's this ?
    MOTwell or another one # a more recent one .
  19. bilingual_eng_Deuchar/861023eg.cha, line 564 · M, 1;3.29
    GRAGranny took the glasses off didn't she there ?
    MOTno # and who's this ?
    MOT*MOT: who's this ?
    MOTwell or another one # a more recent one .
    GRAmmm ?
  20. bilingual_eng_Deuchar/861023eg.cha, line 567 · M, 1;3.29
    MOTwell or another one # a more recent one .
    GRAmmm ?
    MOT*MOT: who's this ?
    CHI0.
    MOTxxx she's xxx hasn't she ?
  21. bilingual_eng_Deuchar/861023eg.cha, line 572 · M, 1;3.29
    MOTxxx she's xxx hasn't she ?
    GRAwas she ?
    MOT*MOT: who's this ?
    MOTwho's this ?
    MOThuh ?
  22. bilingual_eng_Deuchar/861023eg.cha, line 573 · M, 1;3.29
    GRAwas she ?
    MOTwho's this ?
    MOT*MOT: who's this ?
    MOThuh ?
    MOTwho is it ?

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_Deuchar13.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/861023eg.chaM 1;3.291,609222213.67

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. who's22 · 100.0%