PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (354 utterances, 1,562 words searched).

  1. y(ou) finally got a turtle # huh ? MEL · eng_USA_Brown/sarah095.cha, line 49 · Sarah 4;02
  2. well # let's get Danny out o(f) here # huh ? MOT · eng_USA_Brown/sarah095.cha, line 175 · Sarah 4;02
  3. xxx for lunch # huh ? MOT · eng_USA_Brown/sarah095.cha, line 257 · Sarah 4;02
  4. you had a stop and think # huh ? MOT · eng_USA_Brown/sarah095.cha, line 525 · Sarah 4;02
  5. you don't remember # huh ? MEL · eng_USA_Brown/sarah095.cha, line 679 · Sarah 4;02
  6. huh ? MOT · eng_USA_Brown/sarah095.cha, line 777 · Sarah 4;02
  7. that goes on # huh ? FAT · eng_USA_Brown/sarah095.cha, line 882 · Sarah 4;02
  8. huh ? MOT · eng_USA_Brown/sarah095.cha, line 1353 · Sarah 4;02
  1. MOTno # your brother # the closest to it you'll ever get .
    CHIhe's not # xxx .
    MEL*MEL: y(ou) finally got a turtle # huh ?
    MOTyeah .
    CHIturtle .
  2. CHIpour .
    CHII can get that too .
    MOT*MOT: well # let's get Danny out o(f) here # huh ?
    MOTSarah # I'll put Danny Thomas in your room .
    FAT0 .
  3. CHIcan I have toast ?
    CHIuhhuh # Mommy ?
    MOT*MOT: xxx for lunch # huh ?
    CHIalright .
    CHI(it)'s rainin(g) out .
  4. CHInah .
    MELyou could call him Dan # instead of Danny .
    MOT*MOT: you had a stop and think # huh ?
    MELSarah's not a name that lends itself to nicknames very much .
    MOTshe's on an eatin(g) kick too .
  5. MELstand up ?
    CHIyeah .
    MEL*MEL: you don't remember # huh ?
    CHIhuh ?
    MELdid you forget ?
  6. MOTwhat ?
    CHIwhere's that thing on ?
    MOT*MOT: huh ?
    CHIthat real lipstick .
    MOToh # it's on top of your bureau .
  7. CHIxxx .
    FATle(t) me see .
    FAT*FAT: that goes on # huh ?
    MOTyeah .
    FATle(t) me see .
  8. CHIput his head back and float .
    CHIhe didn't move his legs .
    MOT*MOT: huh ?
    CHIhe didn't move his legs .
    MOThe didn't move his legs ?

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_Brown5.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah095.chaSarah 4;2.091,562885.12

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. huh8 · 100.0%