PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

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

  1. tea # it's not tea # it's coffee . MOT · eng_USA_Brown/sarah023.cha, line 85 · Sarah 2;07
  2. tea # it's not tea # it's coffee . MOT · eng_USA_Brown/sarah023.cha, line 85 · Sarah 2;07
  3. you eat it # it's yours . MOT · eng_USA_Brown/sarah023.cha, line 359 · Sarah 2;07
  4. no # it's yours . MOT · eng_USA_Brown/sarah023.cha, line 363 · Sarah 2;07
  5. it's up here . MOT · eng_USA_Brown/sarah023.cha, line 751 · Sarah 2;07
  6. it's all about the baby's house . MOT · eng_USA_Brown/sarah023.cha, line 855 · Sarah 2;07
  7. no # it's not Baxter . MOT · eng_USA_Brown/sarah023.cha, line 1246 · Sarah 2;07
  8. no # it's not Barron . MOT · eng_USA_Brown/sarah023.cha, line 1250 · Sarah 2;07
  9. yeah # it's a puppy . MOT · eng_USA_Brown/sarah023.cha, line 1280 · Sarah 2;07
  1. MOTwhat's Mumma doing ?
    CHIyyy .
    MOT*MOT: tea # it's not tea # it's coffee .
    CHIcof(fee) .
    MOTyeah .
  2. CHIyou .
    MOTover the dish # you're gettin(g) it all over the floor .
    MOT*MOT: you eat it # it's yours .
    CHIdat yours .
    MOTno # it's yours .
  3. MOTyou eat it # it's yours .
    CHIdat yours .
    MOT*MOT: no # it's yours .
    CHIno # yours .
    MOTxxx fussy girl .
  4. MOTyou see your new book ?
    CHInew book .
    MOT*MOT: it's up here .
    CHIup here ?
    MOTyeah .
  5. MOTbaby's house .
    CHIwhere ?
    MOT*MOT: it's all about the baby's house .
    CHIyou read this xxx .
    MOTlet's see .
  6. MOTBaxter ?
    CHIBaxter .
    MOT*MOT: no # it's not Baxter .
    MOTBarron .
    MOTno # it's not Barron .
  7. MOTno # it's not Baxter .
    MOTBarron .
    MOT*MOT: no # it's not Barron .
    CHIwhere ?
    MOTwhat's Auntie Marian's puppy's name ?
  8. MOTwhat is it ?
    CHIxxx puppy .
    MOT*MOT: yeah # it's a puppy .
    CHIxxx .
    MOTsee # the puppy's sleepin(g) on the couch .

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_Brown7.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah023.chaSarah 2;7.281,231897.31

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. it's9 · 100.0%