PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (361 utterances, 1,546 words searched).

  1. what did Bobo@f the clown do at the circus ? COU · eng_USA_Brown/sarah031.cha, line 278 · Sarah 2;09
  2. did he jump ? MOT · eng_USA_Brown/sarah031.cha, line 288 · Sarah 2;09
  3. did he sing ? MOT · eng_USA_Brown/sarah031.cha, line 290 · Sarah 2;09
  4. did he talk ? MOT · eng_USA_Brown/sarah031.cha, line 292 · Sarah 2;09
  5. well # what did he say ? MOT · eng_USA_Brown/sarah031.cha, line 294 · Sarah 2;09
  6. but what did you have to eat ? MOT · eng_USA_Brown/sarah031.cha, line 324 · Sarah 2;09
  1. eng_USA_Brown/sarah031.cha, line 278 · Sarah, 2;9.29
    CHIBobo@f clown .
    MOTBobo@f the clown # and what else ?
    COU*COU: what did Bobo@f the clown do at the circus ?
    CHIfool around [?] .
    MOThe run ?
  2. eng_USA_Brown/sarah031.cha, line 288 · Sarah, 2;9.29
    MOThe run ?
    MOTno ?
    MOT*MOT: did he jump ?
    MOTdid he sing ?
    MOTdid he talk ?
  3. eng_USA_Brown/sarah031.cha, line 290 · Sarah, 2;9.29
    MOTno ?
    MOTdid he jump ?
    MOT*MOT: did he sing ?
    MOTdid he talk ?
    MOTwell # what did he say ?
  4. eng_USA_Brown/sarah031.cha, line 292 · Sarah, 2;9.29
    MOTdid he jump ?
    MOTdid he sing ?
    MOT*MOT: did he talk ?
    MOTwell # what did he say ?
    CHIsay moo@o .
  5. eng_USA_Brown/sarah031.cha, line 294 · Sarah, 2;9.29
    MOTdid he sing ?
    MOTdid he talk ?
    MOT*MOT: well # what did he say ?
    CHIsay moo@o .
    MOThe said moo@o !
  6. eng_USA_Brown/sarah031.cha, line 324 · Sarah, 2;9.29
    CHIclown xxx .
    MOTyeah # you saw clowns .
    MOT*MOT: but what did you have to eat ?
    MOToh # no # no # say it out loud .
    MOTwhyn't [: why don't] you put this up on the table .

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_Brown3.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah031.chaSarah 2;9.291,546663.88

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. did6 · 100.0%