PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

10.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (215 utterances, 796 words searched).

  1. yeah . GAI · eng_USA_Brown/sarah138.cha, line 113 · Sarah 5;00
  2. yeah . GAI · eng_USA_Brown/sarah138.cha, line 173 · Sarah 5;00
  3. yeah . GAI · eng_USA_Brown/sarah138.cha, line 312 · Sarah 5;00
  4. yeah # they're tremendous . MOT · eng_USA_Brown/sarah138.cha, line 462 · Sarah 5;00
  5. yeah . GAI · eng_USA_Brown/sarah138.cha, line 548 · Sarah 5;00
  6. yeah . GAI · eng_USA_Brown/sarah138.cha, line 575 · Sarah 5;00
  7. yeah . GAI · eng_USA_Brown/sarah138.cha, line 601 · Sarah 5;00
  8. yeah # you're too close . MOT · eng_USA_Brown/sarah138.cha, line 917 · Sarah 5;00
  1. MOTuhhuh .
    MOTthe leaves .
    GAI*GAI: yeah .
    CHIok # now read the other one .
    MOTjust says +"/.
  2. GAImmhm .
    CHIis he standin(g) on his shadow ?
    GAI*GAI: yeah .
    CHIhow_come this round thing xxx ?
    CHIbumps the round thing .
  3. GAIoh # that's not very interesting writing .
    CHIthat writing ?
    GAI*GAI: yeah .
    CHIwhat does [?] that spell ?
    GAI+" the sun is bright .
  4. CHIno .
    CHIthey're big [!!] flowers .
    MOT*MOT: yeah # they're tremendous .
    GAIthey call them sunflowers .
    CHIsunflowers ?
  5. CHIwhen my mother hangs clothes # d(o) you let em rinse out in rain ?
    CHInope # (be)cause it has to be dried again # huh ?
    GAI*GAI: yeah .
    CHIand everytime you do that you # have to put # the clothes up .
    CHIis that what it tells [?] ?
  6. GAIdoes it look like it's gonna close ?
    CHIyeah .
    GAI*GAI: yeah .
    CHIdid it ?
    GAIdid it ?
  7. GAImmhm .
    CHIand sometimes you put a pipe in it # huh ?
    GAI*GAI: yeah .
    CHInose here # and a broom .
    CHIand hat # and the eyes # and the trees and your [?] sleigh .
  8. MOTyou're gonna gonna hit [?] the table .
    CHIam I close ?
    MOT*MOT: yeah # you're too close .
    CHIoh .
    CHIam I close now ?

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_Brown10.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah138.chaSarah 5;0.307968810.05

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. yeah8 · 100.0%