PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

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

  1. there . MOT · eng_USA_Brown/sarah135.cha, line 252 · Sarah 5;00
  2. up # down # there [?] across # and see # right where you started . MOT · eng_USA_Brown/sarah135.cha, line 365 · Sarah 5;00
  3. all your friends still there ? GAI · eng_USA_Brown/sarah135.cha, line 633 · Sarah 5;00
  1. eng_USA_Brown/sarah135.cha, line 252 · Sarah, 5;0.10
    MOTit's the wrong way .
    MOTnow turn the head .
    MOT*MOT: there .
    MOTnow it'll work .
    CHInow can you try it ?
  2. eng_USA_Brown/sarah135.cha, line 365 · Sarah, 5;0.10
    MOTno # you have to +...
    MOTsee ?
    MOT*MOT: up # down # there [?] across # and see # right where you started .
    CHII did xxx bigger point .
    CHIlike that ?
  3. eng_USA_Brown/sarah135.cha, line 633 · Sarah, 5;0.10
    CHInothin(g) .
    CHIjust plain old beach .
    GAI*GAI: all your friends still there ?
    CHIyup .
    MOTtell her who was down # xxx .

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_Brown2.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah135.chaSarah 5;0.101,060332.83

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. there3 · 100.0%