PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

2.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (400 utterances, 2,083 words searched).

  1. you didn't cut it all the way through . MOT · eng_USA_Brown/sarah124.cha, line 353 · Sarah 4;09
  2. it's all in shreds . MOT · eng_USA_Brown/sarah124.cha, line 414 · Sarah 4;09
  3. so I got out <(be)cause all the rubber> [//] you could smell all the rubber burning . MOT · eng_USA_Brown/sarah124.cha, line 455 · Sarah 4;09
  4. so I got out <(be)cause all the rubber> [//] you could smell all the rubber burning . MOT · eng_USA_Brown/sarah124.cha, line 455 · Sarah 4;09
  5. she was all excited . MOT · eng_USA_Brown/sarah124.cha, line 925 · Sarah 4;09
  6. all you have to do is look at him . MOT · eng_USA_Brown/sarah124.cha, line 996 · Sarah 4;09
  1. CHII was about to .
    CHIsee ?
    MOT*MOT: you didn't cut it all the way through .
    CHIoh .
    MOToh .
  2. CHIya know why I cut it ?
    CHIbecause I wanted to go like # this .
    MOT*MOT: it's all in shreds .
    CHII think I did .
    MOTit was terrible .
  3. MOT<I got out o(f) the car (a)n(d)> [//] Donny got out first (a)n(d) then I got out .
    MOThe had a funny look on his face .
    MOT*MOT: so I got out <(be)cause all the rubber> [//] you could smell all the rubber burning .
    MOT(a)n(d) I got out (a)n(d) I looked at that tire (a)n(d) # neither one of us could even talk .
    MOTit was just like # cord wrapped around the thing .
  4. MOTwe've got a Danny # Auntie .
    MOTcome see our Danny .
    MOT*MOT: she was all excited .
    MOTwhen you go up # she won't say two words to ya .
    MOTya know she runs in the room (a)n(d) hides .
  5. MOT<they're gonna> [//] oh .
    MOThe is typical boy from the out (a)n(d) out .
    MOT*MOT: all you have to do is look at him .
    MOThe's ready to fight ya .
    CHIdoes he put up his dukes ?

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_Brown2.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah124.chaSarah 4;9.122,083562.88

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. all6 · 100.0%