PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

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

  1. there . MOT · eng_USA_Brown/sarah057.cha, line 30 · Sarah 3;04
  2. right there . MOT · eng_USA_Brown/sarah057.cha, line 557 · Sarah 3;04
  3. (a)n(d) there's a frog . MOT · eng_USA_Brown/sarah057.cha, line 595 · Sarah 3;04
  4. yeah # there he is # right there . MOT · eng_USA_Brown/sarah057.cha, line 601 · Sarah 3;04
  5. yeah # there he is # right there . MOT · eng_USA_Brown/sarah057.cha, line 601 · Sarah 3;04
  6. see # there's a dog . KEN · eng_USA_Brown/sarah057.cha, line 733 · Sarah 3;04
  7. there's its nose . KEN · eng_USA_Brown/sarah057.cha, line 737 · Sarah 3;04
  1. eng_USA_Brown/sarah057.cha, line 30 · Sarah, 3;4.09
    CHIhey # don't put on other bandaid .
    MOTI xxx put it around it so it won't come off .
    MOT*MOT: there .
    CHIuh .
    MOTxxx .
  2. eng_USA_Brown/sarah057.cha, line 557 · Sarah, 3;4.09
    MOTya have got a dog .
    MOTya got a dog +...
    MOT*MOT: right there .
    MOTsee ?
    MOTon the floor .
  3. eng_USA_Brown/sarah057.cha, line 595 · Sarah, 3;4.09
    CHIMommy # +...
    CHIis xxx o:h .
    MOT*MOT: (a)n(d) there's a frog .
    MOThow (a)bout that ?
    CHIthere's a eye .
  4. eng_USA_Brown/sarah057.cha, line 601 · Sarah, 3;4.09
    MOThow (a)bout that ?
    CHIthere's a eye .
    MOT*MOT: yeah # there he is # right there .
    MOTxxx made a frog .
    CHIyyy .
  5. eng_USA_Brown/sarah057.cha, line 733 · Sarah, 3;4.09
    MOTnext Tuesday # yep .
    CHIum .
    KEN*KEN: see # there's a dog .
    CHIhoh [: huh] .
    KENthere's its nose .
  6. eng_USA_Brown/sarah057.cha, line 737 · Sarah, 3;4.09
    KENsee # there's a dog .
    CHIhoh [: huh] .
    KEN*KEN: there's its nose .
    KENand that's its ear +...
    KENthese are its legs and that's its tail .

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_Brown5.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah057.chaSarah 3;4.091,368675.12

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. there7 · 100.0%