PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (385 utterances, 1,236 words searched).

  1. Buba@f # and who's that ? MOT · eng_USA_Brown/sarah020.cha, line 558 · Sarah 2;07
  2. where's Buba@f ? MOT · eng_USA_Brown/sarah020.cha, line 564 · Sarah 2;07
  3. where's Buba@f sick ? MOT · eng_USA_Brown/sarah020.cha, line 580 · Sarah 2;07
  4. poor Buba@f . MOT · eng_USA_Brown/sarah020.cha, line 601 · Sarah 2;07
  1. eng_USA_Brown/sarah020.cha, line 558 · Sarah, 2;7.05
    MOTwho's that ?
    CHIBuba@f .
    MOT*MOT: Buba@f # and who's that ?
    CHIGrampy .
    MOTGrampy ?
  2. eng_USA_Brown/sarah020.cha, line 564 · Sarah, 2;7.05
    CHIGrampy .
    MOTGrampy ?
    MOT*MOT: where's Buba@f ?
    CHIright here .
    MOTyeah # but where is he really ?
  3. eng_USA_Brown/sarah020.cha, line 580 · Sarah, 2;7.05
    CHIhe sick .
    MOTwhere's Buster sick ?
    MOT*MOT: where's Buba@f sick ?
    CHIin (th)ere .
    MOTin where # on his face ?
  4. eng_USA_Brown/sarah020.cha, line 601 · Sarah, 2;7.05
    MOTbig face # huh .
    CHIbig face [?] .
    MOT*MOT: poor Buba@f .
    CHIxxx Buba@f .
    CHIxxx my doggie .

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_Brown3.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236443.24

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. buba4 · 100.0%