PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (381 utterances, 1,406 words searched).

  1. want an apple ? MOT · eng_USA_Brown/sarah080.cha, line 103 · Sarah 3;10
  2. what do ya want ? MOT · eng_USA_Brown/sarah080.cha, line 261 · Sarah 3;10
  3. you want a spankin(g) ? FAT · eng_USA_Brown/sarah080.cha, line 345 · Sarah 3;10
  4. you want that ? FAT · eng_USA_Brown/sarah080.cha, line 384 · Sarah 3;10
  5. you want to way up high on the ladder ? FAT · eng_USA_Brown/sarah080.cha, line 515 · Sarah 3;10
  6. <why's> [//] # how_come you want a turtle ? FAT · eng_USA_Brown/sarah080.cha, line 1010 · Sarah 3;10
  7. # want to look into your black eye ? MOT · eng_USA_Brown/sarah080.cha, line 1232 · Sarah 3;10
  8. xxx want some coffee ? MOT · eng_USA_Brown/sarah080.cha, line 1331 · Sarah 3;10
  1. CHI<no # no # no> [/] # no .
    CHIno .
    MOT*MOT: want an apple ?
    CHIyeah [/] # yeah .
    CHIwhere the apple .
  2. MOTc(o)me (h)ere .
    MOToh !
    MOT*MOT: what do ya want ?
    MOTthat out ?
    MOTalright .
  3. MOTSarah # please .
    FATget up .
    FAT*FAT: you want a spankin(g) ?
    FATyou're goin(g) to get that apple all dirty .
    MOTlook it # (a)n(d) you'll put it in your mouth (a)n(d) everything .
  4. MOTdon't .
    CHIgoin(g) do it to the dog .
    FAT*FAT: you want that ?
    FATgoin(g) to eat it ?
    CHIyum [/] # yum .
  5. CHIuhhuh .
    FATthe big bell on the truck .
    FAT*FAT: you want to way up high on the ladder ?
    FAThuh ?
    CHIhuh # who's goin(g) to put me up there ?
  6. MOTeverything's nicer (un)till you get them .
    MOTwhy's +...
    FAT*FAT: <why's> [//] # how_come you want a turtle ?
    CHI(be)cause I like turtles .
    FATthey don't play .
  7. MOTwho'd +...
    MOT# your +...
    MOT*MOT: # want to look into your black eye ?
    FATshe got sunglasses ?
    MOTmmhm .
  8. MOToh my baby .
    CHIxxx .
    MOT*MOT: xxx want some coffee ?
    MOTwhose baby are you ?
    CHIum .

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_Brown5.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah080.chaSarah 3;10.011,406885.69

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. want8 · 100.0%