PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. whyn't [: why don't] you make an a@l ? MOT · eng_USA_Brown/sarah028.cha, line 219 · Sarah 2;09
  2. why don't you try to make an a@l ? MOT · eng_USA_Brown/sarah028.cha, line 228 · Sarah 2;09
  3. you made an a@l ? MOT · eng_USA_Brown/sarah028.cha, line 233 · Sarah 2;09
  4. is that an a@l ? MOT · eng_USA_Brown/sarah028.cha, line 239 · Sarah 2;09
  5. oh # that's an elephant # yeah . MOT · eng_USA_Brown/sarah028.cha, line 458 · Sarah 2;09
  1. MOTis that lots of fun ?
    CHII make k@l .
    MOT*MOT: whyn't [: why don't] you make an a@l ?
    CHIwhy ?
    MOThmm ?
  2. MOThmm ?
    MOT(be)cause you're always making k@l-s .
    MOT*MOT: why don't you try to make an a@l ?
    CHImake [//] I xxx make a@l .
    MOTyou made an a@l ?
  3. MOTwhy don't you try to make an a@l ?
    CHImake [//] I xxx make a@l .
    MOT*MOT: you made an a@l ?
    MOTwhere ?
    CHIhere .
  4. MOTwhere ?
    CHIhere .
    MOT*MOT: is that an a@l ?
    CHIa@l .
    CHIxxx one .
  5. MOTwhat's his name ?
    CHIyyy .
    MOT*MOT: oh # that's an elephant # yeah .
    CHIxxx read story you .
    MOTyou gonna read me a story ?

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_Brown4.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.061,149554.35

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. an5 · 100.0%