PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (415 utterances, 1,801 words searched).

  1. Adam # how would I know that those are the wheels that go on here ? MOT · eng_USA_Brown/adam41.cha, line 496 · Adam 3;11
  2. are those the right wheels ? MOT · eng_USA_Brown/adam41.cha, line 499 · Adam 3;11
  3. is this the right wheels ? MOT · eng_USA_Brown/adam41.cha, line 511 · Adam 3;11
  4. where are the wheels for the bus ? MOT · eng_USA_Brown/adam41.cha, line 589 · Adam 3;11
  5. that's only two wheels . URS · eng_USA_Brown/adam41.cha, line 736 · Adam 3;11
  6. d(o) you have more wheels ? URS · eng_USA_Brown/adam41.cha, line 738 · Adam 3;11
  7. ten wheels ! URS · eng_USA_Brown/adam41.cha, line 885 · Adam 3;11
  1. MOThere # Paulie .
    MOTlet's do the puzzle .
    MOT*MOT: Adam # how would I know that those are the wheels that go on here ?
    MOTare those the right wheels ?
    CHIyep .
  2. MOTlet's do the puzzle .
    MOTAdam # how would I know that those are the wheels that go on here ?
    MOT*MOT: are those the right wheels ?
    CHIyep .
    CHIthe person who puts dem on # has to .
  3. CHIkeep dem on dere .
    CHIdis looks like a station wagon .
    MOT*MOT: is this the right wheels ?
    CHIno # dat's not de right wheels .
    MOToh # why isn't that the right one ?
  4. CHIso I be happy .
    CHIdose are not your ties .
    MOT*MOT: where are the wheels for the bus ?
    CHII don't have no more .
    MOTyou don't have any more ?
  5. URSwhy don't you bring the station wagon over here and I'll put it together ?
    CHIhere's the wheels to it .
    URS*URS: that's only two wheels .
    URSd(o) you have more wheels ?
    CHIyep .
  6. CHIhere's the wheels to it .
    URSthat's only two wheels .
    URS*URS: d(o) you have more wheels ?
    CHIyep .
    CHIhere .
  7. CHIde tires to de station wagon ?
    CHIone # two # three # four # five # six # seven # eight # nine # ten .
    URS*URS: ten wheels !
    CHIis one wheel missing ?
    MOTI don't have any .

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. Adam eng_USA_Brown3.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam41.chaAdam 3;11.141,801773.89

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. wheels7 · 100.0%