PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 1,848 words searched).

  1. talk right . MOT · eng_USA_Brown/sarah125.cha, line 182 · Sarah 4;09
  2. there they are # right there . MOT · eng_USA_Brown/sarah125.cha, line 719 · Sarah 4;09
  3. she made that one right there ? ANN · eng_USA_Brown/sarah125.cha, line 945 · Sarah 4;09
  4. you have to make that same line # but you have to make it right close to the edge # here . GAI · eng_USA_Brown/sarah125.cha, line 1039 · Sarah 4;09
  5. a Mother whale # right ? ANN · eng_USA_Brown/sarah125.cha, line 1147 · Sarah 4;09
  6. no # this is a bird right there # see ? ANN · eng_USA_Brown/sarah125.cha, line 1189 · Sarah 4;09
  1. eng_USA_Brown/sarah125.cha, line 182 · Sarah, 4;9.19
    CHIwhat ?
    MOTI don't wanna talk to you again .
    MOT*MOT: talk right .
    CHIxxx .
    ANNSarah # how do you spell Jerry ?
  2. eng_USA_Brown/sarah125.cha, line 719 · Sarah, 4;9.19
    MOTone # then two # then three .
    MOTthe wild ones .
    MOT*MOT: there they are # right there .
    MOThuh ?
    MOTy(ou) know what's gonna happen to you # huh ?
  3. eng_USA_Brown/sarah125.cha, line 945 · Sarah, 4;9.19
    ANNthat's night .
    GAIaim for the door # and then back .
    ANN*ANN: she made that one right there ?
    ANNyou need a little loop .
    ANNsee # you go whoops .
  4. eng_USA_Brown/sarah125.cha, line 1039 · Sarah, 4;9.19
    CHIlike dat ?
    CHIlike dat ?
    GAI*GAI: you have to make that same line # but you have to make it right close to the edge # here .
    GAIstart here and do it this way .
    CHIoh .
  5. eng_USA_Brown/sarah125.cha, line 1147 · Sarah, 4;9.19
    CHIhuh ?
    ANNwell # I'll make a big whale then this time # alright ?
    ANN*ANN: a Mother whale # right ?
    CHI(o)k .
    ANNI'll have to make a big tunnel for this .
  6. eng_USA_Brown/sarah125.cha, line 1189 · Sarah, 4;9.19
    ANNthat's a bird .
    CHIboth of them ?
    ANN*ANN: no # this is a bird right there # see ?
    ANNyou make a line like this .
    ANNthen you draw the head .

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_Brown3.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah125.chaSarah 4;9.191,848663.25

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. right6 · 100.0%