PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.80 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (346 utterances, 1,783 words searched).

  1. how_come Betty had to go in ? MOT · eng_USA_Brown/sarah119.cha, line 808 · Sarah 4;07
  2. well how_come she had to go back in the house ? MOT · eng_USA_Brown/sarah119.cha, line 865 · Sarah 4;07
  3. well how_come Donna was cryin(g) if she was doin(g) all the hittin(g) ? MOT · eng_USA_Brown/sarah119.cha, line 928 · Sarah 4;07
  4. how_come you like Robin better than Batman ? MEL · eng_USA_Brown/sarah119.cha, line 1040 · Sarah 4;07
  5. how_come everybody has to marry Robin ? MOT · eng_USA_Brown/sarah119.cha, line 1131 · Sarah 4;07
  1. CHIsaid # that's enough for one day .
    CHII said # up Betty's house .
    MOT*MOT: how_come Betty had to go in ?
    MOTwait a minute .
    MOTsay what you're gonna say before you take another bite .
  2. MOTy(ou) mean # mean Betty ?
    CHIall of us .
    MOT*MOT: well how_come she had to go back in the house ?
    CHIshe didn't go back in the house # but # I [?] mean [?] back and forth # and back and forth # and back and forth .
    MOToh .
  3. MOTshe hit Betty with the broom .
    CHIuhhuh .
    MOT*MOT: well how_come Donna was cryin(g) if she was doin(g) all the hittin(g) ?
    CHIwell # Diane was here (a)n(d) Junie was here (a)n(d) +...
    MOTwho ?
  4. MELand you wanted Robin too ?
    CHIall us kids want Robin .
    MEL*MEL: how_come you like Robin better than Batman ?
    CHIwell # Batman don't have a girl .
    MELoh .
  5. CHImmhm .
    MOTwell who's gonna marry Superman ?
    MOT*MOT: how_come everybody has to marry Robin ?
    MOTwhy can't somebody marry Superman # (a)n(d) somebody marry Batman # (a)n(d) somebody else marry Robin ?
    CHIwell I'm gonna marry # Robin .

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_Brown2.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah119.chaSarah 4;7.241,783552.80

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. how_come5 · 100.0%