PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

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

  1. there we go . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 233 · Olivier 1;11
  2. there you go # say please . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 255 · Olivier 1;11
  3. there you go . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 422 · Olivier 1;11
  4. there we go . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 438 · Olivier 1;11
  5. and where did Daddy go ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 849 · Olivier 1;11
  6. did Daddy go for a bike ride ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 851 · Olivier 1;11
  7. …ver we take out the broom # after he'll take the broom or the mop and go behind us ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1005 · Olivier 1;11
  8. there # we go ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1167 · Olivier 1;11
  1. MOTI'm gonna [: going to] play with the puzzle if you're not going to .
    MOTthere !
    MOT*MOT: there we go .
    CHI0.
    MOTwhat's in that ?
  2. MOTwhen he wants you to open something # he says open the door .
    MOTopen the cover !
    MOT*MOT: there you go # say please .
    CHIplease !
    MOTthank you .
  3. MOTwhere is the tractor ?
    MOTis this the tractor ?
    MOT*MOT: there you go .
    MOT0aux you wanna [: want to] fill up the bucket ?
    MOTlet's fill up the bucket .
  4. MOTuhoh !
    MOTthe little wheelbarrow .
    MOT*MOT: there we go .
    MOTnow it's empty .
    MOTempty !
  5. CHIgone .
    MOTgone .
    MOT*MOT: and where did Daddy go ?
    MOTdid Daddy go for a bike ride ?
    CHIgo Daddy !
  6. MOTgone .
    MOTand where did Daddy go ?
    MOT*MOT: did Daddy go for a bike ride ?
    CHIgo Daddy !
    MOTDaddy went for a bike ride ?
  7. EXPis Olivier xxx ?
    MOTum # he tries [=! laughs] !
    MOT*MOT: he doesn't xxx but whenever we take out the broom # after he'll take the broom or the mop and go behind us !
    CHIyy # no ?
    MOTwhat's that ?
  8. MOTput the animals # # inside the fence .
    MOTand try not to break it .
    MOT*MOT: there # we go !
    MOTokay .
    CHIokay !

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_Genesee5.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli13b11m.chaOlivier 1;11.151,476885.42

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. go8 · 100.0%