PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (324 utterances, 1,368 words searched).

  1. they fall down . MOT · eng_USA_Brown/sarah057.cha, line 295 · Sarah 3;04
  2. they fall down . MOT · eng_USA_Brown/sarah057.cha, line 299 · Sarah 3;04
  3. well <I don't make> [//] # I don't know how to make a dog layin(g) down . MOT · eng_USA_Brown/sarah057.cha, line 479 · Sarah 3;04
  4. how do ya make a dog layin(g) down ? MOT · eng_USA_Brown/sarah057.cha, line 482 · Sarah 3;04
  5. my dogs don't even look like dogs # standin(g) up or sittin(g) down . MOT · eng_USA_Brown/sarah057.cha, line 512 · Sarah 3;04
  6. alright # sit down . MOT · eng_USA_Brown/sarah057.cha, line 1347 · Sarah 3;04
  1. MOThmm ?
    CHIwhat they do .
    MOT*MOT: they fall down .
    CHIhuh ?
    MOTthey fall down .
  2. MOTthey fall down .
    CHIhuh ?
    MOT*MOT: they fall down .
    CHIwhere [/] # where ?
    KENtell me a story about Chantilly .
  3. CHIno wake a .
    CHIhe's # layin(g) down .
    MOT*MOT: well <I don't make> [//] # I don't know how to make a dog layin(g) down .
    MOThow do ya make a dog layin(g) down ?
    CHIouch .
  4. CHIhe's # layin(g) down .
    MOTwell <I don't make> [//] # I don't know how to make a dog layin(g) down .
    MOT*MOT: how do ya make a dog layin(g) down ?
    CHIouch .
    CHIlike this .
  5. MOTask Kent to make you a dog .
    MOTI don't know how to make a dog .
    MOT*MOT: my dogs don't even look like dogs # standin(g) up or sittin(g) down .
    CHIwill you make a dog ?
    KENthat's a good cat .
  6. MOTwe have to mail them some money .
    MOTalong with St Joseph's and everybody else .
    MOT*MOT: alright # sit down .
    MOTeat your cereal .
    CHIMommy # I hate God .

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_Brown4.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah057.chaSarah 3;4.091,368664.39

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. down6 · 100.0%