PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (394 utterances, 1,805 words searched).

  1. you want to play with Sheryl today ? MOT · eng_USA_Brown/sarah085.cha, line 170 · Sarah 3;11
  2. no # I don't want some powder . MOT · eng_USA_Brown/sarah085.cha, line 1155 · Sarah 3;11
  3. looks like you want it . MEL · eng_USA_Brown/sarah085.cha, line 1183 · Sarah 3;11
  4. what do you want # orange+juice ? MOT · eng_USA_Brown/sarah085.cha, line 1425 · Sarah 3;11
  5. want some orange+juice ? MOT · eng_USA_Brown/sarah085.cha, line 1452 · Sarah 3;11
  6. <(be)cause Sheryl won't> [//] # Sheryl will want it # (a)n(d) # you only have one of them so you # fight too much over… MOT · eng_USA_Brown/sarah085.cha, line 1631 · Sarah 3;11
  1. CHIit's not that way .
    CHIxxx .
    MOT*MOT: you want to play with Sheryl today ?
    MOThuh ?
    MOT(be)cause there's no children around here .
  2. CHIoh [/] # oh .
    CHIyou want some powder+puff ?
    MOT*MOT: no # I don't want some powder .
    MOToh # what can ya do +...
    MOT# just what I need .
  3. MELdoes it xxx .
    CHIyeah .
    MEL*MEL: looks like you want it .
    CHIsponge .
    CHIit's a mop .
  4. MOTwe got pickles (a)n(d) # lots of junk .
    CHIMama [/] # Mama # Ma +...
    MOT*MOT: what do you want # orange+juice ?
    MOTwhat'd you do ?
    MOTyou leave this thing a mess again .
  5. CHIuh # I get the same thing .
    CHII have +...
    MOT*MOT: want some orange+juice ?
    MOTMelissa ?
    MELoh .
  6. MOTI don't know where your balloon is .
    MOTya can't take that with ya you know # in the car .
    MOT*MOT: <(be)cause Sheryl won't> [//] # Sheryl will want it # (a)n(d) # you only have one of them so you # fight too much over it .
    CHIno I won't .
    MOToh yeah .

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_Brown3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah085.chaSarah 3;11.161,805663.32

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. want6 · 100.0%