PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (517 utterances, 1,954 words searched).

  1. and who else ? MOT · eng_USA_Brown/sarah035.cha, line 312 · Sarah 2;10
  2. what else do you like ? FAT · eng_USA_Brown/sarah035.cha, line 527 · Sarah 2;10
  3. what else you take down to the beach with you ? MOT · eng_USA_Brown/sarah035.cha, line 1180 · Sarah 2;10
  4. you take a pail # and what else ? MOT · eng_USA_Brown/sarah035.cha, line 1183 · Sarah 2;10
  5. what else ? MOT · eng_USA_Brown/sarah035.cha, line 1198 · Sarah 2;10
  1. FATwith Momma ?
    CHIyou .
    MOT*MOT: and who else ?
    CHIaah # Daddy .
    MOTno .
  2. CHI(y)um !
    MOTdelicious # uhhuh .
    FAT*FAT: what else do you like ?
    MOTcoffee ?
    MOThmm ?
  3. CHIxxx my all done !
    MOTthen you're all done ?
    MOT*MOT: what else you take down to the beach with you ?
    MOTyou take a pail # and what else ?
    CHIshovel !
  4. MOTthen you're all done ?
    MOTwhat else you take down to the beach with you ?
    MOT*MOT: you take a pail # and what else ?
    CHIshovel !
    FATa shovel # and a pail # what do you use them for ?
  5. CHIplay water .
    FATin the water and in the what ?
    MOT*MOT: what else ?
    CHIPaul .
    FATin the sand ?

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_Brown2.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah035.chaSarah 2;10.241,954552.56

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. else5 · 100.0%