PHPCLANCHILDES with regular expressions

15 matches in 13 utterances

7.59 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. where did you go with Esther ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 243 · Olivier 2;11
  5. where did you go with Esther this morning ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 247 · Olivier 2;11
  6. <where was> [/] where was the slide ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1243 · Olivier 2;11
  7. <where was> [/] where was the slide ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1243 · Olivier 2;11
  8. no, where [/] where was the slide ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1249 · Olivier 2;11
  9. no, where [/] where was the slide ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1249 · Olivier 2;11
  10. where do you put your hands on the bar ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1257 · Olivier 2;11
  11. and where's that ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1267 · Olivier 2;11
  12. now he's in [//] into the stage where he's saying xx ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1463 · Olivier 2;11
  13. where ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1691 · Olivier 2;11
  14. and where did they take the car ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1770 · Olivier 2;11
  15. where did the tow truck take the car honey ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 1774 · Olivier 2;11
  1. FATviens ici .
    FATqu'est ce xxx [>] +/.
    MOT*MOT: where [<] did you go this morning, Olivier ?
    CHIyyy ?
    MOTwhere did you go this morning ?
  2. MOTwhere [<] did you go this morning, Olivier ?
    CHIyyy ?
    MOT*MOT: where did you go this morning ?
    CHIthis morning ?
    MOTyeah .
  3. 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. CHIEsther .
    MOTEsther .
    MOT*MOT: where did you go with Esther ?
    BAB0.
    MOTwhere did you go with Esther this morning ?
  5. 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 ?
  6. MOTremember ?
    CHIyeah .
    MOT*MOT: <where was> [/] where was the slide ?
    CHIyyy # # over here .
    MOTno, where [/] where was the slide ?
  7. MOT<where was> [/] where was the slide ?
    CHIyyy # # over here .
    MOT*MOT: no, where [/] where was the slide ?
    CHIover here the slide .
    MOTremember when I said about the bar ?
  8. CHIover here the slide .
    MOTremember when I said about the bar ?
    MOT*MOT: where do you put your hands on the bar ?
    CHI0.
    CHIlike that .
  9. CHIlike that .
    MOTokay .
    MOT*MOT: and where's that ?
    CHI0.
    MOTit's in the middle or the ?
  10. MOThe's +/.
    OBSwhat ?
    MOT*MOT: now he's in [//] into the stage where he's saying xx ?
    MOTif you don't pick that thing up or if you don't go do this or that # xxx what are you going to do about it .
    FATxxx !
  11. CHI0.
    CHIwhat happened # # last night ?
    MOT*MOT: where ?
    CHIat the car .
    CHIwhen we were going fast .
  12. MOTthe tow truck .
    MOToh okay .
    MOT*MOT: and where did they take the car ?
    CHI0.
    MOTwhere did the tow truck take the car honey ?
  13. 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 .

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_Genesee7.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Genesee/oli33b00b.chaOlivier 2;11.151,97513157.59

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. where15 · 100.0%