PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

8.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (382 utterances, 1,699 words searched).

  1. and where did you go ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 16 · Olivier 2;09
  2. do you remember where else we saw some fish ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 529 · Olivier 2;09
  3. where do they put the wood ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 636 · Olivier 2;09
  4. you have to watch where you're going . MOT · bilingual_eng_Genesee/oli23b09m.cha, line 744 · Olivier 2;09
  5. where are we going this afternoon, Olivier ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 774 · Olivier 2;09
  6. where're we going after our nap ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 778 · Olivier 2;09
  7. where are we going ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 790 · Olivier 2;09
  8. to where ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 799 · Olivier 2;09
  9. go [<] show Elena where your garage is and put your car in there . MOT · bilingual_eng_Genesee/oli23b09m.cha, line 885 · Olivier 2;09
  10. where are you going to put your bike ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 900 · Olivier 2;09
  11. you <put them> [//] take them off and put them where they belong . MOT · bilingual_eng_Genesee/oli23b09m.cha, line 1084 · Olivier 2;09
  12. and where do they belong ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 1094 · Olivier 2;09
  13. Olivier, put them back where they xxx [>] . MOT · bilingual_eng_Genesee/oli23b09m.cha, line 1108 · Olivier 2;09
  14. where do we play basketball ? MOT · bilingual_eng_Genesee/oli23b09m.cha, line 1210 · Olivier 2;09
  15. where did he go ? OBS · bilingual_eng_Genesee/oli23b09m.cha, line 1684 · Olivier 2;09
  1. MOT*MOT: and where did you go ?
    MOTremember you went to eat somewhere ?
    MOTyou went to eat ?
  2. CHI<là là> [>] .
    MOTfish [<] .
    MOT*MOT: do you remember where else we saw some fish ?
    CHI0.
    CHIthe tractor's # stuck .
  3. CHI0.
    MOThe's chopping some wood ?
    MOT*MOT: where do they put the wood ?
    MOT(re)member Grampy had # a little # thing next to the dining room in the room there ?
    CHIyeah ?
  4. CHI0.
    MOTyou have to drive carefully .
    MOT*MOT: you have to watch where you're going .
    CHIje vas reculer .
    MOTyou're gonna [: going to] back up ?
  5. CHII gonna # go # xx some apple .
    MOTokay .
    MOT*MOT: where are we going this afternoon, Olivier ?
    CHI0.
    MOTwhere're we going after our nap ?
  6. MOTwhere are we going this afternoon, Olivier ?
    CHI0.
    MOT*MOT: where're we going after our nap ?
    CHIwe gonna go see Ryan !
    MOTwe're going to go see Ryan .
  7. MOTwell, Ryan is far away .
    CHI0.
    MOT*MOT: where are we going ?
    CHI0.
    MOTare we going outside ?
  8. MOTare we going outside ?
    CHIyeah .
    MOT*MOT: to where ?
    CHIto the # park .
    MOTto the park .
  9. MOTOlivier, go park your car in the garage .
    CHIno xxx [>] .
    MOT*MOT: go [<] show Elena where your garage is and put your car in there .
    CHIno .
    CHIno .
  10. CHII # just gonna move my xx, okay ?
    CHIxxx .
    MOT*MOT: where are you going to put your bike ?
    CHI0.
    MOTput your bike in the garage .
  11. CHI<no, I gonna> [<] be mad .
    MOTno # Mommy's going to be mad .
    MOT*MOT: you <put them> [//] take them off and put them where they belong .
    CHIdon't be mad .
    CHIuh !
  12. CHIdon't be mad .
    CHIuh !
    MOT*MOT: and where do they belong ?
    CHIno .
    MOTput them over there .
  13. CHIno !
    CHIno !
    MOT*MOT: Olivier, put them back where they xxx [>] .
    CHI<no # mad> [<] !
    CHIright now !
  14. CHIxxx play basketball .
    OBS0 [=! laughs] xxx out !
    MOT*MOT: where do we play basketball ?
    CHI0.
    MOTwhy don't you show Elena what you have over here, honey ?
  15. CHIDaddy take the car .
    OBSyeah ?
    OBS*OBS: where did he go ?
    CHI<no yy look at that> [/] no yy look at that # big goal [?] .

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_Genesee8.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b09m.chaOlivier 2;9.071,69915158.83

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%