PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

7.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (250 utterances, 1,060 words searched).

  1. did Gail +... MOT · eng_USA_Brown/sarah135.cha, line 44 · Sarah 5;00
  2. # we'll give Gail a piece to take home # ok ? MOT · eng_USA_Brown/sarah135.cha, line 46 · Sarah 5;00
  3. over to Gail . MOT · eng_USA_Brown/sarah135.cha, line 353 · Sarah 5;00
  4. now go over to Gail . MOT · eng_USA_Brown/sarah135.cha, line 375 · Sarah 5;00
  5. alright # now go over to Gail . MOT · eng_USA_Brown/sarah135.cha, line 402 · Sarah 5;00
  6. over to Gail . MOT · eng_USA_Brown/sarah135.cha, line 459 · Sarah 5;00
  7. then over to Gail . MOT · eng_USA_Brown/sarah135.cha, line 483 · Sarah 5;00
  8. to Gail . MOT · eng_USA_Brown/sarah135.cha, line 527 · Sarah 5;00
  1. MOTthey're along the side .
    CHIdid Gail have some ?
    MOT*MOT: did Gail +...
    MOT# we'll give Gail a piece to take home # ok ?
    CHIyeah .
  2. CHIdid Gail have some ?
    MOTdid Gail +...
    MOT*MOT: # we'll give Gail a piece to take home # ok ?
    CHIyeah .
    GAIdid you have some ?
  3. MOTdown .
    CHIdown .
    MOT*MOT: over to Gail .
    MOTnow over to Momma .
    MOTnow down to here .
  4. CHIlike that ?
    MOTnow then down .
    MOT*MOT: now go over to Gail .
    MOTnow go over to Momma .
    MOTno # no .
  5. CHIup +...
    MOTnow down .
    MOT*MOT: alright # now go over to Gail .
    MOTno # no .
    MOTyeah # I suppose you could .
  6. MOTlook # up (a)n(d) down .
    CHIdown .
    MOT*MOT: over to Gail .
    CHIGail .
    MOTover to Momma .
  7. MOTthen up # all the way up to here .
    MOTand all the way down here like an a@l .
    MOT*MOT: then over to Gail .
    MOTthen over to Momma .
    MOTover to Mommy .
  8. MOTon a slant .
    CHIlike this ?
    MOT*MOT: to Gail .
    CHInot at the edge ?
    MOTyeah # that way .

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_Brown7.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah135.chaSarah 5;0.101,060887.55

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. gail8 · 100.0%