PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. Mommy will take out the puzzle and play with it then ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 223 · Olivier 1;11
  2. there's our neighbor we hear out there . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 363 · Olivier 1;11
  3. nono # Mommy took the worm out . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 365 · Olivier 1;11
  4. 0aux you wanna [: want to] take this stuff out ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 984 · Olivier 1;11
  5. he doesn't xxx but whenever 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
  1. bilingual_eng_Genesee/oli13b11m.cha, line 223 · Olivier, 1;11.15
    MOTa puzzle !
    MOTthere's a puzzle in there, honey .
    MOT*MOT: Mommy will take out the puzzle and play with it then !
    EXP0.
    MOTthere !
  2. bilingual_eng_Genesee/oli13b11m.cha, line 363 · Olivier, 1;11.15
    MOTthe neighbor .
    MOTyeah .
    MOT*MOT: there's our neighbor we hear out there .
    MOTnono # Mommy took the worm out .
    MOTthere's no worm in your shirt .
  3. bilingual_eng_Genesee/oli13b11m.cha, line 365 · Olivier, 1;11.15
    MOTyeah .
    MOTthere's our neighbor we hear out there .
    MOT*MOT: nono # Mommy took the worm out .
    MOTthere's no worm in your shirt .
    EXPthere soon will be [=! laughs] !
  4. bilingual_eng_Genesee/oli13b11m.cha, line 984 · Olivier, 1;11.15
    CHIopen !
    MOTthe bag is open .
    MOT*MOT: 0aux you wanna [: want to] take this stuff out ?
    MOTooh !
    MOTyou really are making a big mess !
  5. bilingual_eng_Genesee/oli13b11m.cha, line 1005 · Olivier, 1;11.15
    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 ?

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_Genesee3.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli13b11m.chaOlivier 1;11.151,476553.39

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. out5 · 100.0%