PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

3.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (965 utterances, 4,204 words searched).

  1. what could we do with those toys ? MOT · eng_USA_Valian/18a.cha, line 94 · 18A 2;05
  2. you think it could be a +... MOT · eng_USA_Valian/18a.cha, line 696 · 18A 2;05
  3. is that what you think it could be ? MOT · eng_USA_Valian/18a.cha, line 702 · 18A 2;05
  4. where else could it be ? MOT · eng_USA_Valian/18a.cha, line 774 · 18A 2;05
  5. you know it could be I have another toy +... INV · eng_USA_Valian/18a.cha, line 780 · 18A 2;05
  6. could look . INV · eng_USA_Valian/18a.cha, line 787 · 18A 2;05
  7. could [=? Can't] you read it ? MOT · eng_USA_Valian/18a.cha, line 1196 · 18A 2;05
  8. well, who do you think they could be for ? MOT · eng_USA_Valian/18a.cha, line 1518 · 18A 2;05
  9. xx or we could do it this way . MOT · eng_USA_Valian/18a.cha, line 2463 · 18A 2;05
  10. you know what you could do ? MOT · eng_USA_Valian/18a.cha, line 2522 · 18A 2;05
  11. you could put that one there . MOT · eng_USA_Valian/18a.cha, line 2524 · 18A 2;05
  12. or it could be a little yogurt . MOT · eng_USA_Valian/18a.cha, line 2582 · 18A 2;05
  13. we could do all kinds of things with the baby . MOT · eng_USA_Valian/18a.cha, line 2980 · 18A 2;05
  1. eng_USA_Valian/18a.cha, line 94 · 18A, 2;5.
    INVthat's a duck .
    MOTwhat do we do with those toys ?
    MOT*MOT: what could we do with those toys ?
    CHII don't know .
    MOTdo you want to make a parade ?
  2. eng_USA_Valian/18a.cha, line 696 · 18A, 2;5.
    CHIbecause it has a tail .
    INVfishes have tails [=! laughter] .
    MOT*MOT: you think it could be a +...
    CHIyeah !
    MOTa nion [: lion] ?
  3. eng_USA_Valian/18a.cha, line 702 · 18A, 2;5.
    CHIyeah !
    MOTa nion [: lion] ?
    MOT*MOT: is that what you think it could be ?
    MOTwell, I, you know, Child ?
    MOTthat might be all Investigator's toys .
  4. eng_USA_Valian/18a.cha, line 774 · 18A, 2;5.
    CHIon you leg .
    MOTis it on my leg ?
    MOT*MOT: where else could it be ?
    CHI0 [=! giggle] .
    INVwhere is that ?
  5. eng_USA_Valian/18a.cha, line 780 · 18A, 2;5.
    CHI0 [=! giggle] .
    INVwhere is that ?
    INV*INV: you know it could be I have another toy +...
    INVdo you think I do ?
    CHIyeah .
  6. eng_USA_Valian/18a.cha, line 787 · 18A, 2;5.
    INVdo you think I do ?
    CHIyeah .
    INV*INV: could look .
    MOTdo you want Investigator to look ?
    CHIyeah .
  7. eng_USA_Valian/18a.cha, line 1196 · 18A, 2;5.
    MOTdo you want to read it to the lion ?
    MOTthe lion's listening .
    MOT*MOT: could [=? Can't] you read it ?
    CHIno .
    INVyes, you can .
  8. eng_USA_Valian/18a.cha, line 1518 · 18A, 2;5.
    MOTthink they're for Daddy ?
    CHIno .
    MOT*MOT: well, who do you think they could be for ?
    INVthink they're for me ?
    CHIxx .
  9. eng_USA_Valian/18a.cha, line 2463 · 18A, 2;5.
    MOTno .
    CHIhow many xx +/?
    MOT*MOT: xx or we could do it this way .
    MOTwhat am I doing ?
    INVdo you want to try that ?
  10. eng_USA_Valian/18a.cha, line 2522 · 18A, 2;5.
    MOTno .
    MOTbut you know what you can put ?
    MOT*MOT: you know what you could do ?
    MOTyou could put that one there .
    INVwhat are you gonna do there [=! laughter] ?
  11. eng_USA_Valian/18a.cha, line 2524 · 18A, 2;5.
    MOTbut you know what you can put ?
    MOTyou know what you could do ?
    MOT*MOT: you could put that one there .
    INVwhat are you gonna do there [=! laughter] ?
    INVxxx .
  12. eng_USA_Valian/18a.cha, line 2582 · 18A, 2;5.
    CHIyeah .
    MOTwere you pasting something in school today ?
    MOT*MOT: or it could be a little yogurt .
    MOTdid you have yogurt for lunch ?
    CHIyeah .
  13. eng_USA_Valian/18a.cha, line 2980 · 18A, 2;5.
    CHIcan I do it again ?
    MOTyeah, Investigator doesn't know how to play with those toys .
    MOT*MOT: we could do all kinds of things with the baby .
    MOTnow which one is the mommy and which one is the daddy, and which one is the baby ?
    CHII'm not finished .

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. 18A eng_USA_Valian3.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/18a.cha18A 2;5.4,20413133.09

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. could13 · 100.0%