PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (315 utterances, 1,149 words searched).

  1. you wanna make a k@l ? MOT · eng_USA_Brown/sarah028.cha, line 85 · Sarah 2;09
  2. oh # alright # make a k@l . MOT · eng_USA_Brown/sarah028.cha, line 87 · Sarah 2;09
  3. (be)cause you're always making k@l-s . MOT · eng_USA_Brown/sarah028.cha, line 225 · Sarah 2;09
  4. well # make a k@l on here . MOT · eng_USA_Brown/sarah028.cha, line 773 · Sarah 2;09
  1. CHIk@l .
    CHImake k@l .
    MOT*MOT: you wanna make a k@l ?
    MOToh # alright # make a k@l .
    CHIxxx you .
  2. CHImake k@l .
    MOTyou wanna make a k@l ?
    MOT*MOT: oh # alright # make a k@l .
    CHIxxx you .
    MOToh # that's beautiful !
  3. CHIwhy ?
    MOThmm ?
    MOT*MOT: (be)cause you're always making k@l-s .
    MOTwhy don't you try to make an a@l ?
    CHImake [//] I xxx make a@l .
  4. CHII wan(t) make k@l .
    CHII wa(nt) n@l make k@l .
    MOT*MOT: well # make a k@l on here .
    CHIno .
    CHImake k@l here .

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_Brown3.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.061,149443.48

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. k4 · 100.0%