PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (247 utterances, 1,182 words searched).

  1. yeah you can play with xxx . MOT · eng_USA_Brown/sarah088.cha, line 497 · Sarah 4;00
  2. tell [/] tell Melissa what happened yesterday with # your balloon . MOT · eng_USA_Brown/sarah088.cha, line 824 · Sarah 4;00
  3. how_come I always end up with this job ? MOT · eng_USA_Brown/sarah088.cha, line 920 · Sarah 4;00
  4. are you goin(g) out (a)n(d) play with Donna today ? MOT · eng_USA_Brown/sarah088.cha, line 980 · Sarah 4;00
  5. you goin(g) out (a)n(d) play with Donna this afternoon . MOT · eng_USA_Brown/sarah088.cha, line 986 · Sarah 4;00
  1. eng_USA_Brown/sarah088.cha, line 497 · Sarah, 4;0.14
    CHIwhere's the tracer ?
    CHIthis is xxx .
    MOT*MOT: yeah you can play with xxx .
    MOTwhy don't cha wash your dollie ?
    MOTwhy don't you let me wet it (a)n(d) you can wash your dollie off ?
  2. eng_USA_Brown/sarah088.cha, line 824 · Sarah, 4;0.14
    CHImaybe Uncle_Buster .
    MOTpoor Uncle_Buster gets blamed for everything .
    MOT*MOT: tell [/] tell Melissa what happened yesterday with # your balloon .
    CHIhuh ?
    MOTin the car # what happened to the balloon in the car ?
  3. eng_USA_Brown/sarah088.cha, line 920 · Sarah, 4;0.14
    MOTshe needs a good # Ajax bath .
    CHIMommy # Mommy # put them .
    MOT*MOT: how_come I always end up with this job ?
    MOTyou're supposed to have this job .
    MOTthere now finish up .
  4. eng_USA_Brown/sarah088.cha, line 980 · Sarah, 4;0.14
    MOTplenty .
    MOTyou don't need any more of that .
    MOT*MOT: are you goin(g) out (a)n(d) play with Donna today ?
    CHIhuh ?
    MOTyou goin(g) out (a)n(d) play with Donna this afternoon .
  5. eng_USA_Brown/sarah088.cha, line 986 · Sarah, 4;0.14
    MOTare you goin(g) out (a)n(d) play with Donna today ?
    CHIhuh ?
    MOT*MOT: you goin(g) out (a)n(d) play with Donna this afternoon .
    FATthank+you .
    MOThuh ?

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_Brown4.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah088.chaSarah 4;0.141,182554.23

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. with5 · 100.0%