PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (335 utterances, 1,375 words searched).

  1. what does Mr Bear usually eat ? KEN · eng_USA_Brown/sarah051.cha, line 55 · Sarah 3;03
  2. Mr Ears usually eat ? KEN · eng_USA_Brown/sarah051.cha, line 57 · Sarah 3;03
  3. does Bugs eat ice+cream too ? KEN · eng_USA_Brown/sarah051.cha, line 418 · Sarah 3;03
  4. no # he didn't have anything to eat . MOT · eng_USA_Brown/sarah051.cha, line 1118 · Sarah 3;03
  5. only after they eat banana's though . MOT · eng_USA_Brown/sarah051.cha, line 1151 · Sarah 3;03
  6. you gonna eat the fruit+loops . MOT · eng_USA_Brown/sarah051.cha, line 1200 · Sarah 3;03
  7. eat your fruit+loops . MOT · eng_USA_Brown/sarah051.cha, line 1279 · Sarah 3;03
  1. MOThe don't wanna .
    KENhe doesn't like Loop_loops ?
    KEN*KEN: what does Mr Bear usually eat ?
    KENMr Ears usually eat ?
    CHIlake yyy .
  2. KENhe doesn't like Loop_loops ?
    KENwhat does Mr Bear usually eat ?
    KEN*KEN: Mr Ears usually eat ?
    CHIlake yyy .
    MOTKelloggs .
  3. CHIyyy yyy # I ge(t) ice+(c)ream on it .
    CHIhuh .
    KEN*KEN: does Bugs eat ice+cream too ?
    CHI0 .
    KENwhat kind ?
  4. MOThe was hungry .
    CHI<he uh> [//] he didn't ha(ve) some(thing) to eat .
    MOT*MOT: no # he didn't have anything to eat .
    CHIChips can't do this .
    MOT<are you> [//] no # you didn't ask Kent if he could do it .
  5. CHIuh # well my # monkey # do that .
    MOToh # monkeys do that ?
    MOT*MOT: only after they eat banana's though .
    CHIme xxx .
    CHII'm hungry .
  6. CHII xxx this time .
    CHIsee .
    MOT*MOT: you gonna eat the fruit+loops .
    CHIyep .
    MOTyep .
  7. MOTwe lock (h)im up .
    CHIyeah .
    MOT*MOT: eat your fruit+loops .
    MOTyou wanted them .
    CHIlock (h)im up .

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_Brown5.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah051.chaSarah 3;3.071,375775.09

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. eat7 · 100.0%