PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (336 utterances, 1,231 words searched).

  1. that's the puppy . MOT · eng_USA_Brown/sarah023.cha, line 1227 · Sarah 2;07
  2. what's Auntie Marian's puppy's # dog # name ? MOT · eng_USA_Brown/sarah023.cha, line 1237 · Sarah 2;07
  3. what's Auntie Marian's puppy's name ? MOT · eng_USA_Brown/sarah023.cha, line 1255 · Sarah 2;07
  4. yeah # it's a puppy . MOT · eng_USA_Brown/sarah023.cha, line 1280 · Sarah 2;07
  5. see # the puppy's sleepin(g) on the couch . MOT · eng_USA_Brown/sarah023.cha, line 1284 · Sarah 2;07
  6. here's the puppy . MOT · eng_USA_Brown/sarah023.cha, line 1287 · Sarah 2;07
  7. he's a happy little puppy # huh . MOT · eng_USA_Brown/sarah023.cha, line 1291 · Sarah 2;07
  1. MOTyeah .
    CHIxxx doggie .
    MOT*MOT: that's the puppy .
    CHIdat pup +/.
    MOTthat's like um what's Auntie Marian's doggie's name ?
  2. MOTthat's like um what's Auntie Marian's doggie's name ?
    CHIyyy .
    MOT*MOT: what's Auntie Marian's puppy's # dog # name ?
    CHIum +...
    MOTBaxter ?
  3. MOTno # it's not Barron .
    CHIwhere ?
    MOT*MOT: what's Auntie Marian's puppy's name ?
    CHIyyy .
    MOThuh ?
  4. MOTwhat is it ?
    CHIxxx puppy .
    MOT*MOT: yeah # it's a puppy .
    CHIxxx .
    MOTsee # the puppy's sleepin(g) on the couch .
  5. MOTyeah # it's a puppy .
    CHIxxx .
    MOT*MOT: see # the puppy's sleepin(g) on the couch .
    MOThere's the puppy .
    MOThe's jumpin(g) all over the place .
  6. CHIxxx .
    MOTsee # the puppy's sleepin(g) on the couch .
    MOT*MOT: here's the puppy .
    MOThe's jumpin(g) all over the place .
    MOThe's a happy little puppy # huh .
  7. MOThere's the puppy .
    MOThe's jumpin(g) all over the place .
    MOT*MOT: he's a happy little puppy # huh .
    CHIhe loves me .
    MOTyeah .

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/sarah023.chaSarah 2;7.281,231775.69

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. puppy7 · 100.0%