PHPCLANCHILDES with regular expressions

9 matches in 7 utterances

7.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (309 utterances, 1,264 words searched).

  1. your mike # yeah . MOT · eng_USA_Brown/sarah009.cha, line 63 · Sarah 2;04
  2. that's your mike yeah . MOT · eng_USA_Brown/sarah009.cha, line 230 · Sarah 2;04
  3. your # oh that's a mike # that's not a Michael # honey # it's a mike . MOT · eng_USA_Brown/sarah009.cha, line 335 · Sarah 2;04
  4. your # oh that's a mike # that's not a Michael # honey # it's a mike . MOT · eng_USA_Brown/sarah009.cha, line 335 · Sarah 2;04
  5. Michael's the dog # that's a mike . MOT · eng_USA_Brown/sarah009.cha, line 338 · Sarah 2;04
  6. it won't be picked up on the mike probably . COU · eng_USA_Brown/sarah009.cha, line 355 · Sarah 2;04
  7. Mike # bad Mike . MOT · eng_USA_Brown/sarah009.cha, line 1086 · Sarah 2;04
  8. Mike # bad Mike . MOT · eng_USA_Brown/sarah009.cha, line 1086 · Sarah 2;04
  9. bad Mike . MOT · eng_USA_Brown/sarah009.cha, line 1090 · Sarah 2;04
  1. MOTwhat ?
    CHIxxx .
    MOT*MOT: your mike # yeah .
    MOTok ?
    CHIxxx bu(tton) .
  2. MOTmy bike # yeah .
    MOTmy bike .
    MOT*MOT: that's your mike yeah .
    CHIxxx my mike .
    MOThuh ?
  3. CHImike .
    CHIxxx my Michael .
    MOT*MOT: your # oh that's a mike # that's not a Michael # honey # it's a mike .
    MOTMichael's the dog # that's a mike .
    CHImike ?
  4. CHIxxx my Michael .
    MOTyour # oh that's a mike # that's not a Michael # honey # it's a mike .
    MOT*MOT: Michael's the dog # that's a mike .
    CHImike ?
    CHIMikie .
  5. CHIxxx .
    MOTthat's unusual .
    COU*COU: it won't be picked up on the mike probably .
    MOToh # it won't ?
    CHIa yyy Mommy ?
  6. MOTwhat're you going to run for ?
    CHIxxx Mike .
    MOT*MOT: Mike # bad Mike .
    CHIhuh ?
    MOTbad Mike .
  7. MOTMike # bad Mike .
    CHIhuh ?
    MOT*MOT: bad Mike .
    CHIbad .
    CHIa Michael .

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_Brown7.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah009.chaSarah 2;4.171,264797.12

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. mike9 · 100.0%