PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

13.80 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (207 utterances, 652 words searched).

  1. who were you with ? MOT · eng_USA_Brown/sarah033.cha, line 43 · Sarah 2;10
  2. Sandra # and who else ? MOT · eng_USA_Brown/sarah033.cha, line 47 · Sarah 2;10
  3. and who else ? MOT · eng_USA_Brown/sarah033.cha, line 51 · Sarah 2;10
  4. and who else ? MOT · eng_USA_Brown/sarah033.cha, line 61 · Sarah 2;10
  5. Sarah # who gave you the dishes ? COU · eng_USA_Brown/sarah033.cha, line 123 · Sarah 2;10
  6. who ? COU · eng_USA_Brown/sarah033.cha, line 128 · Sarah 2;10
  7. Aunt who ? MOT · eng_USA_Brown/sarah033.cha, line 380 · Sarah 2;10
  8. Uncle who ? MOT · eng_USA_Brown/sarah033.cha, line 392 · Sarah 2;10
  9. who was asleep like a good girl last night ? MOT · eng_USA_Brown/sarah033.cha, line 533 · Sarah 2;10
  1. MOTwhat'd you do out there ?
    MOThuh ?
    MOT*MOT: who were you with ?
    MOTSandra !
    MOTSandra # and who else ?
  2. MOTwho were you with ?
    MOTSandra !
    MOT*MOT: Sandra # and who else ?
    CHIDonna !
    MOTand who else ?
  3. MOTSandra # and who else ?
    CHIDonna !
    MOT*MOT: and who else ?
    CHIand uh # me !
    MOTand you ?
  4. MOTwasn't Jo_anna there ?
    CHI0 .
    MOT*MOT: and who else ?
    CHIDonna .
    MOTyou mean Diane .
  5. CHIwow !
    MOT0 .
    COU*COU: Sarah # who gave you the dishes ?
    CHINana .
    COUwho ?
  6. COUSarah # who gave you the dishes ?
    CHINana .
    COU*COU: who ?
    CHINana .
    COUxxx .
  7. MOTdon't you know Arthur's Mumma's name ?
    CHIuh # Arthur .
    MOT*MOT: Aunt who ?
    MOTAunt +/.
    CHIAunt # Dot .
  8. CHI<Aunt xxx> [?] .
    MOT<xxx name> [<] ?
    MOT*MOT: Uncle who ?
    CHIUncle_George .
    MOTUncle_George .
  9. CHInice .
    CHInice .
    MOT*MOT: who was asleep like a good girl last night ?
    CHIme !
    MOTyeah # you went # a boom@o !

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. Sarah eng_USA_Brown13.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah033.chaSarah 2;10.116529913.80

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. who9 · 100.0%