PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

4.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (614 utterances, 2,573 words searched).

  1. who ? INV · eng_british_Manchester_II/nic04a.cha, line 563 · Nicole 2;01
  2. who is it ? INV · eng_british_Manchester_II/nic04a.cha, line 571 · Nicole 2;01
  3. who is it in the photograph ? MOT · eng_british_Manchester_II/nic04a.cha, line 575 · Nicole 2;01
  4. and who else ? MOT · eng_british_Manchester_II/nic04a.cha, line 587 · Nicole 2;01
  5. who else is in the photograph ? MOT · eng_british_Manchester_II/nic04a.cha, line 589 · Nicole 2;01
  6. who else is in the photograph ? MOT · eng_british_Manchester_II/nic04a.cha, line 597 · Nicole 2;01
  7. who's the little girl in the photograph ? MOT · eng_british_Manchester_II/nic04a.cha, line 601 · Nicole 2;01
  8. who's in the pram ? INV · eng_british_Manchester_II/nic04a.cha, line 685 · Nicole 2;01
  9. who +/. MOT · eng_british_Manchester_II/nic04a.cha, line 1062 · Nicole 2;01
  10. who took you swimming on Saturday ? MOT · eng_british_Manchester_II/nic04a.cha, line 1066 · Nicole 2;01
  11. now who's having the sandwich ? MOT · eng_british_Manchester_II/nic04a.cha, line 1666 · Nicole 2;01
  12. who's having the sandwich ? MOT · eng_british_Manchester_II/nic04a.cha, line 1672 · Nicole 2;01
  1. eng_british_Manchester_II/nic04a.cha, line 563 · Nicole, 2;1.22
    INVNana ?
    CHIno .
    INV*INV: who ?
    CHIand Nicole .
    INVit isn't Nana ?
  2. eng_british_Manchester_II/nic04a.cha, line 571 · Nicole, 2;1.22
    INVit isn't Nana ?
    CHIno .
    INV*INV: who is it ?
    MOTnot Nana .
    MOTwho is it in the photograph ?
  3. eng_british_Manchester_II/nic04a.cha, line 575 · Nicole, 2;1.22
    INVwho is it ?
    MOTnot Nana .
    MOT*MOT: who is it in the photograph ?
    MOTdo you know ?
    CHIyeah .
  4. eng_british_Manchester_II/nic04a.cha, line 587 · Nicole, 2;1.22
    CHIDad .
    CHIGordon .
    MOT*MOT: and who else ?
    MOTwho else is in the photograph ?
    INVare you in any of them ?
  5. eng_british_Manchester_II/nic04a.cha, line 589 · Nicole, 2;1.22
    CHIGordon .
    MOTand who else ?
    MOT*MOT: who else is in the photograph ?
    INVare you in any of them ?
    MOTno .
  6. eng_british_Manchester_II/nic04a.cha, line 597 · Nicole, 2;1.22
    MOTno .
    MOTleave the door alone .
    MOT*MOT: who else is in the photograph ?
    MOTcan you remember ?
    MOTwho's the little girl in the photograph ?
  7. eng_british_Manchester_II/nic04a.cha, line 601 · Nicole, 2;1.22
    MOTwho else is in the photograph ?
    MOTcan you remember ?
    MOT*MOT: who's the little girl in the photograph ?
    MOTwhat's her name ?
    CHILily .
  8. eng_british_Manchester_II/nic04a.cha, line 685 · Nicole, 2;1.22
    INVbiscuit [<] .
    MOTyeah .
    INV*INV: who's in the pram ?
    CHIa baby .
    INVa baby ?
  9. eng_british_Manchester_II/nic04a.cha, line 1062 · Nicole, 2;1.22
    MOTsee if you can swim to me .
    MOTwhat are you doing ?
    MOT*MOT: who +/.
    CHIxxx .
    MOTwho took you swimming on Saturday ?
  10. eng_british_Manchester_II/nic04a.cha, line 1066 · Nicole, 2;1.22
    MOTwho +/.
    CHIxxx .
    MOT*MOT: who took you swimming on Saturday ?
    CHILily .
    MOTLily ?
  11. eng_british_Manchester_II/nic04a.cha, line 1666 · Nicole, 2;1.22
    MOTthere .
    MOTthat's it .
    MOT*MOT: now who's having the sandwich ?
    INVwhoops .
    INVfallen again .
  12. eng_british_Manchester_II/nic04a.cha, line 1672 · Nicole, 2;1.22
    INVwhoops .
    INVfallen again .
    MOT*MOT: who's having the sandwich ?
    CHIno .
    MOTno ?

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. Nicole eng_british_Manchester_II4.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic04a.chaNicole 2;1.222,57312124.66

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%