PHPCLANCHILDES with regular expressions

28 matches in 27 utterances

14.18 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (502 utterances, 1,975 words searched).

  1. where [<] did you go this morning, Olivier ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 189 · Olivier 2;11
  2. where did you go this morning ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 194 · Olivier 2;11
  3. where did you go ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 206 · Olivier 2;11
  4. <who did you> [//] who [/] who took care of you this morning ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 211 · Olivier 2;11
  5. where did you go with Esther ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 243 · Olivier 2;11
  6. where did you go with Esther this morning ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 247 · Olivier 2;11
  7. what did you do with your scissors today, Olivier ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 458 · Olivier 2;11
  8. what did you make with your scissors ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 463 · Olivier 2;11
  9. what # did you make ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 468 · Olivier 2;11
  10. Olivier, what did we cut out today ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 505 · Olivier 2;11
  11. what did we cut out today with your scissors ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 510 · Olivier 2;11
  12. what did we put on the bears ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 544 · Olivier 2;11
  13. what did we draw on the bears ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 548 · Olivier 2;11
  14. did you fall on your bike one time, Olivier ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 719 · Olivier 2;11
  15. did you hurt your neck ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 734 · Olivier 2;11
  16. did xx teach you this ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 885 · Olivier 2;11
  17. Olivier, what did you eat today with Esther ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1042 · Olivier 2;11
  18. what did you eat today # with Esther ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1047 · Olivier 2;11
  19. what did you eat ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1055 · Olivier 2;11
  20. you went to that place and what did you get ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1064 · Olivier 2;11
  21. what did you eat ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1090 · Olivier 2;11
  22. why did you cover your boats ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1580 · Olivier 2;11
  23. why did you cover them ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1585 · Olivier 2;11
  24. did somebody come and pick the car up ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1754 · Olivier 2;11
  25. and where did they take the car ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1770 · Olivier 2;11
  26. where did the tow truck take the car honey ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1774 · Olivier 2;11
  27. what did you say they did ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1796 · Olivier 2;11
  28. what did you say they did ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1796 · Olivier 2;11
  1. bilingual_eng_french_Genesee/oli33b00b.cha, line 189 · Olivier, 2;11.15
    FATviens ici .
    FATqu'est ce xxx [>] +/.
    MOT*MOT: where [<] did you go this morning, Olivier ?
    CHIyyy ?
    MOTwhere did you go this morning ?
  2. bilingual_eng_french_Genesee/oli33b00b.cha, line 194 · Olivier, 2;11.15
    MOTwhere [<] did you go this morning, Olivier ?
    CHIyyy ?
    MOT*MOT: where did you go this morning ?
    CHIthis morning ?
    MOTyeah .
  3. bilingual_eng_french_Genesee/oli33b00b.cha, line 206 · Olivier, 2;11.15
    MOTyeah .
    CHIwhere did I go ?
    MOT*MOT: where did you go ?
    CHIwhere did I go ?
    MOT<who did you> [//] who [/] who took care of you this morning ?
  4. bilingual_eng_french_Genesee/oli33b00b.cha, line 211 · Olivier, 2;11.15
    MOTwhere did you go ?
    CHIwhere did I go ?
    MOT*MOT: <who did you> [//] who [/] who took care of you this morning ?
    CHIyeah ?
    CHIwho # take care of me # xx [>] ?
  5. bilingual_eng_french_Genesee/oli33b00b.cha, line 243 · Olivier, 2;11.15
    CHIEsther .
    MOTEsther .
    MOT*MOT: where did you go with Esther ?
    BAB0.
    MOTwhere did you go with Esther this morning ?
  6. bilingual_eng_french_Genesee/oli33b00b.cha, line 247 · Olivier, 2;11.15
    MOTwhere did you go with Esther ?
    BAB0.
    MOT*MOT: where did you go with Esther this morning ?
    CHII go to the park !
    MOTto the park ?
  7. bilingual_eng_french_Genesee/oli33b00b.cha, line 458 · Olivier, 2;11.15
    CHI0.
    FAT0.
    MOT*MOT: what did you do with your scissors today, Olivier ?
    CHIyeah ?
    MOTwhat did you make with your scissors ?
  8. bilingual_eng_french_Genesee/oli33b00b.cha, line 463 · Olivier, 2;11.15
    MOTwhat did you do with your scissors today, Olivier ?
    CHIyeah ?
    MOT*MOT: what did you make with your scissors ?
    CHIyeah ?
    MOTwhat # did you make ?
  9. bilingual_eng_french_Genesee/oli33b00b.cha, line 468 · Olivier, 2;11.15
    MOTwhat did you make with your scissors ?
    CHIyeah ?
    MOT*MOT: what # did you make ?
    CHIpate à modeler .
    MOToh no, we didn't cut up pate à modeler .
  10. bilingual_eng_french_Genesee/oli33b00b.cha, line 505 · Olivier, 2;11.15
    CHIc'est quoi ?
    FAT<on cherche> [//] # on va regarder avec quoi on va réparer ta bicyclette .
    MOT*MOT: Olivier, what did we cut out today ?
    CHIhuh ?
    MOTwhat did we cut out today with your scissors ?
  11. bilingual_eng_french_Genesee/oli33b00b.cha, line 510 · Olivier, 2;11.15
    MOTOlivier, what did we cut out today ?
    CHIhuh ?
    MOT*MOT: what did we cut out today with your scissors ?
    CHI0.
    CHIwhat ?
  12. bilingual_eng_french_Genesee/oli33b00b.cha, line 544 · Olivier, 2;11.15
    MOTthat's right .
    MOTsome little bears .
    MOT*MOT: what did we put on the bears ?
    CHI0.
    MOTwhat did we draw on the bears ?
  13. bilingual_eng_french_Genesee/oli33b00b.cha, line 548 · Olivier, 2;11.15
    MOTwhat did we put on the bears ?
    CHI0.
    MOT*MOT: what did we draw on the bears ?
    CHI&pa marteau # kon@o kon@o !
    MOTOlivier, go find your bears and show them to Elena .
  14. bilingual_eng_french_Genesee/oli33b00b.cha, line 719 · Olivier, 2;11.15
    FATpour proteger la tête ?
    CHIoui .
    MOT*MOT: did you fall on your bike one time, Olivier ?
    CHIyeah .
    MOTwhat happened when you fell on your bike ?
  15. bilingual_eng_french_Genesee/oli33b00b.cha, line 734 · Olivier, 2;11.15
    MOTwhat happened ?
    CHIwhat happened ?
    MOT*MOT: did you hurt your neck ?
    CHIyeah .
    MOTso what are you going to do from now on # when you ride your bike ?
  16. bilingual_eng_french_Genesee/oli33b00b.cha, line 885 · Olivier, 2;11.15
    CHIwho .
    MOT0.
    MOT*MOT: did xx teach you this ?
    CHIyeah !
    MOTand what does she do ?
  17. bilingual_eng_french_Genesee/oli33b00b.cha, line 1042 · Olivier, 2;11.15
    CHIoui .
    CHI0.
    MOT*MOT: Olivier, what did you eat today with Esther ?
    CHIyeah ?
    MOTwhat did you eat today # with Esther ?
  18. bilingual_eng_french_Genesee/oli33b00b.cha, line 1047 · Olivier, 2;11.15
    MOTOlivier, what did you eat today with Esther ?
    CHIyeah ?
    MOT*MOT: what did you eat today # with Esther ?
    CHIwhat did I eat with [/] # # # with Esther ?
    MOTyeah .
  19. bilingual_eng_french_Genesee/oli33b00b.cha, line 1055 · Olivier, 2;11.15
    CHIwhat did I eat with [/] # # # with Esther ?
    MOTyeah .
    MOT*MOT: what did you eat ?
    CHIwhat did you [/] # I eat ?
    MOTyeah .
  20. bilingual_eng_french_Genesee/oli33b00b.cha, line 1064 · Olivier, 2;11.15
    MOTyeah .
    MOTremember ?
    MOT*MOT: you went to that place and what did you get ?
    CHI0.
    FAT0.
  21. bilingual_eng_french_Genesee/oli33b00b.cha, line 1090 · Olivier, 2;11.15
    CHI0.
    MOTEsther Mercedes .
    MOT*MOT: what did you eat ?
    CHI0.
    FATOlivier, dis [//] réponds à Maman .
  22. bilingual_eng_french_Genesee/oli33b00b.cha, line 1580 · Olivier, 2;11.15
    MOTyou were covering your boats ?
    CHIyeah ?
    MOT*MOT: why did you cover your boats ?
    CHIyeah .
    MOTwhy did you cover them ?
  23. bilingual_eng_french_Genesee/oli33b00b.cha, line 1585 · Olivier, 2;11.15
    MOTwhy did you cover your boats ?
    CHIyeah .
    MOT*MOT: why did you cover them ?
    CHIwhy ?
    MOTyeah, why ?
  24. bilingual_eng_french_Genesee/oli33b00b.cha, line 1754 · Olivier, 2;11.15
    MOT0.
    FATwhat what what what what !
    MOT*MOT: did somebody come and pick the car up ?
    CHIyeah .
    MOTwho came ?
  25. bilingual_eng_french_Genesee/oli33b00b.cha, line 1770 · Olivier, 2;11.15
    MOTthe tow truck .
    MOToh okay .
    MOT*MOT: and where did they take the car ?
    CHI0.
    MOTwhere did the tow truck take the car honey ?
  26. bilingual_eng_french_Genesee/oli33b00b.cha, line 1774 · Olivier, 2;11.15
    MOTand where did they take the car ?
    CHI0.
    MOT*MOT: where did the tow truck take the car honey ?
    CHIat the garage .
    MOTto the garage .
  27. bilingual_eng_french_Genesee/oli33b00b.cha, line 1796 · Olivier, 2;11.15
    CHIils réparent la voiture .
    FATuhhuh .
    MOT*MOT: what did you say they did ?
    MOTwhat do they do at the garage ?
    CHIthey fix Daddy's xxx garage .

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. Olivier bilingual_eng_french_Genesee14.18
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Genesee/oli33b00b.chaOlivier 2;11.151,975272814.18

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. did28 · 100.0%