PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

8.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,476 words searched).

  1. you found a tractor ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 40 · Olivier 1;11
  2. tractor [<] ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 416 · Olivier 1;11
  3. where is the tractor ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 418 · Olivier 1;11
  4. is this the tractor ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 420 · Olivier 1;11
  5. no [/] no that's a tractor . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 494 · Olivier 1;11
  6. xxx driving a tractor . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 496 · Olivier 1;11
  7. just a tractor . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 593 · Olivier 1;11
  8. a tractor ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 610 · Olivier 1;11
  9. yeah, there's a tractor in the picture . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 612 · Olivier 1;11
  10. tractor . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 677 · Olivier 1;11
  11. do you wanna [: want to] drive the tractor ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 700 · Olivier 1;11
  12. can you drive the tractor ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 705 · Olivier 1;11
  1. bilingual_eng_Genesee/oli13b11m.cha, line 40 · Olivier, 1;11.15
    MOTis this a bag ?
    CHIxxx tracteu(r) xxx .
    MOT*MOT: you found a tractor ?
    MOTwow !
    MOTit doesn't take you long !
  2. bilingual_eng_Genesee/oli13b11m.cha, line 416 · Olivier, 1;11.15
    MOTyeah ?
    CHItractor tractor [>] !
    MOT*MOT: tractor [<] ?
    MOTwhere is the tractor ?
    MOTis this the tractor ?
  3. bilingual_eng_Genesee/oli13b11m.cha, line 418 · Olivier, 1;11.15
    CHItractor tractor [>] !
    MOTtractor [<] ?
    MOT*MOT: where is the tractor ?
    MOTis this the tractor ?
    MOTthere you go .
  4. bilingual_eng_Genesee/oli13b11m.cha, line 420 · Olivier, 1;11.15
    MOTtractor [<] ?
    MOTwhere is the tractor ?
    MOT*MOT: is this the tractor ?
    MOTthere you go .
    MOT0aux you wanna [: want to] fill up the bucket ?
  5. bilingual_eng_Genesee/oli13b11m.cha, line 494 · Olivier, 1;11.15
    MOTthat's a big rock !
    CHIyy .
    MOT*MOT: no [/] no that's a tractor .
    MOTxxx driving a tractor .
    MOTlook at this puzzle .
  6. bilingual_eng_Genesee/oli13b11m.cha, line 496 · Olivier, 1;11.15
    CHIyy .
    MOTno [/] no that's a tractor .
    MOT*MOT: xxx driving a tractor .
    MOTlook at this puzzle .
    MOTyou just have to put this puzzle together !
  7. bilingual_eng_Genesee/oli13b11m.cha, line 593 · Olivier, 1;11.15
    MOTwhere's the truck ?
    MOTthere's no choochoo train on there, honey .
    MOT*MOT: just a tractor .
    MOTxxx .
    MOTI think he wants to create the same situation that's on the picture .
  8. bilingual_eng_Genesee/oli13b11m.cha, line 610 · Olivier, 1;11.15
    MOTwhat's in the +...
    CHItractor ?
    MOT*MOT: a tractor !
    MOTyeah, there's a tractor in the picture .
    MOTwhat else ?
  9. bilingual_eng_Genesee/oli13b11m.cha, line 612 · Olivier, 1;11.15
    CHItractor ?
    MOTa tractor !
    MOT*MOT: yeah, there's a tractor in the picture .
    MOTwhat else ?
    MOTis there a rock ?
  10. bilingual_eng_Genesee/oli13b11m.cha, line 677 · Olivier, 1;11.15
    MOTis the box empty ?
    CHIyy # # tractor .
    MOT*MOT: tractor .
    MOTthat's a dumper !
    MOThuh ?
  11. bilingual_eng_Genesee/oli13b11m.cha, line 700 · Olivier, 1;11.15
    MOTdoes it dump it on the floor ?
    MOTon the floor !
    MOT*MOT: do you wanna [: want to] drive the tractor ?
    CHIdrive a # tractor ?
    MOTcan you drive the tractor ?
  12. bilingual_eng_Genesee/oli13b11m.cha, line 705 · Olivier, 1;11.15
    MOTdo you wanna [: want to] drive the tractor ?
    CHIdrive a # tractor ?
    MOT*MOT: can you drive the tractor ?
    CHIah Yeye # ah vélo # ah vélo # Yeye # ah vélo !
    EXP0.

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_Genesee8.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli13b11m.chaOlivier 1;11.151,47612128.13

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. tractor12 · 100.0%