PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

2.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (952 utterances, 4,538 words searched).

  1. who lights the matches ? MOT · eng_USA_Valian/09a.cha, line 190 · 09A 2;07
  2. who: . INV · eng_USA_Valian/09a.cha, line 342 · 09A 2;07
  3. who's Chuck ? INV · eng_USA_Valian/09a.cha, line 437 · 09A 2;07
  4. they look like people who are gonna fix the building . MOT · eng_USA_Valian/09a.cha, line 1286 · 09A 2;07
  5. they look like people who don't know how to close a door, don't they ? INV · eng_USA_Valian/09a.cha, line 1289 · 09A 2;07
  6. who: . INV · eng_USA_Valian/09a.cha, line 1304 · 09A 2;07
  7. <you know what it> [//] who that looks like, Child ? MOT · eng_USA_Valian/09a.cha, line 1432 · 09A 2;07
  8. who else gets shaved ? MOT · eng_USA_Valian/09a.cha, line 1577 · 09A 2;07
  9. who shaves every morning ? MOT · eng_USA_Valian/09a.cha, line 1579 · 09A 2;07
  10. who had the rest of the blue ? MOT · eng_USA_Valian/09a.cha, line 2074 · 09A 2;07
  11. and we were visiting someone who had a new baby yesterday and she made them and he took one bite and s… MOT · eng_USA_Valian/09a.cha, line 2315 · 09A 2;07
  12. who likes oatmeal ? MOT · eng_USA_Valian/09a.cha, line 2472 · 09A 2;07
  1. MOTdo you think Observer's going camping with that truck ?
    INVnow .
    MOT*MOT: who lights the matches ?
    CHI[- very soft] Daddy .
    MOTthat's right .
  2. INVunhooked again [% parental chuckle] .
    MOTthat's silly, isn't it [% squeak noises] ?
    INV*INV: who: .
    MOT[- chuckle] Child, look, the door opens .
    MOTis there anything inside this camper ?
  3. CHI[- very softly] too big .
    MOTtoo big, yeah .
    INV*INV: who's Chuck ?
    INVoh:, that's Chuck .
    INVcan I see Chuck ?
  4. CHIwhat gonna do ?
    MOTI think they're just gonna go fix the building .
    MOT*MOT: they look like people who are gonna fix the building .
    INVthey look like people who don't know how to close a door, don't they ?
    MOTMommy's coming right back .
  5. MOTI think they're just gonna go fix the building .
    MOTthey look like people who are gonna fix the building .
    INV*INV: they look like people who don't know how to close a door, don't they ?
    MOTMommy's coming right back .
    MOTI'm just going to close the door .
  6. CHIxx .
    INVwhat ?
    INV*INV: who: .
    MOTxx Child .
    CHIxx .
  7. MOTit's the right color .
    CHIit's a &ca xx .
    MOT*MOT: <you know what it> [//] who that looks like, Child ?
    CHIxx .
    MOTthat looks a little bit like Razmah .
  8. MOTisn't that silly ?
    INVtheir fur is like this usually and then they get shaved, here, and here, and all around here .
    MOT*MOT: who else gets shaved ?
    MOTwho shaves every morning ?
    CHI+< Daddy .
  9. INVtheir fur is like this usually and then they get shaved, here, and here, and all around here .
    MOTwho else gets shaved ?
    MOT*MOT: who shaves every morning ?
    CHI+< Daddy .
    MOTthat's right .
  10. CHIxxx .
    MOTwhere's the rest of it ?
    MOT*MOT: who had the rest of the blue ?
    MOTdid Observer have the blue ?
    MOTyou have to sneak it away from her ? [+ V]
  11. MOTbut these are just too too sweet .
    INVhmm .
    MOT*MOT: and we were visiting someone who had a new baby yesterday and she made them and he took one bite and said, +"/.
    MOT+" this is too sweet .
    CHIyeah .
  12. MOTis it oatmeal ?
    CHIyes .
    MOT*MOT: who likes oatmeal ?
    MOTanybody we know ?
    MOT# it's good .

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. 09A eng_USA_Valian2.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/09a.cha09A 2;7.254,53812122.64

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. who12 · 100.0%