PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (296 utterances, 1,144 words searched).

  1. how_come they changed his name ? FAT · eng_USA_Brown/sarah068.cha, line 66 · Sarah 3;07
  2. how_come Bozo's got no hair on top of his head ? FAT · eng_USA_Brown/sarah068.cha, line 438 · Sarah 3;07
  3. how_come she's got two belly+buttons ? MOT · eng_USA_Brown/sarah068.cha, line 675 · Sarah 3;07
  4. how_come ya get everything so dirty ? MOT · eng_USA_Brown/sarah068.cha, line 751 · Sarah 3;07
  1. CHISparky .
    MOTSparky .
    FAT*FAT: how_come they changed his name ?
    MOT(be)cause Blanche said everybody in creation has a Chips .
    FATI'm not askin(g) you .
  2. CHIum .
    MOTxxx those towels from Andy .
    FAT*FAT: how_come Bozo's got no hair on top of his head ?
    FATwho [/] # who's Bozo look like ?
    CHIhe's uh going # tricks .
  3. CHIPenny_Bright .
    CHIsee # she wake up xxx .
    MOT*MOT: how_come she's got two belly+buttons ?
    CHIshe has one # two belly+buttons .
    CHIshe has a button .
  4. CHIyeah .
    CHII don't thrower@c .
    MOT*MOT: how_come ya get everything so dirty ?
    CHII don't know .
    CHIit's only Penny_Bright .

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_Brown3.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah068.chaSarah 3;7.091,144443.50

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_come4 · 100.0%