PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (307 utterances, 1,058 words searched).

  1. oh # it's all right . MOT · eng_USA_Brown/sarah005.cha, line 241 · Sarah 2;03
  2. when you're all through . RUS · eng_USA_Brown/sarah005.cha, line 331 · Sarah 2;03
  3. drink it all up and you can have it xxx . MOT · eng_USA_Brown/sarah005.cha, line 368 · Sarah 2;03
  4. what am I going to do with all that ? RUS · eng_USA_Brown/sarah005.cha, line 380 · Sarah 2;03
  5. it's not all gone . MOT · eng_USA_Brown/sarah005.cha, line 437 · Sarah 2;03
  6. he's all gone . MOT · eng_USA_Brown/sarah005.cha, line 1062 · Sarah 2;03
  7. peanut butter's almost all gone . MOT · eng_USA_Brown/sarah005.cha, line 1188 · Sarah 2;03
  1. GLOoh # the hat's gone .
    CHIxxx .
    MOT*MOT: oh # it's all right .
    MOTit has two pins in it .
    MOTthere .
  2. RUSit's hot .
    RUSwe have something nice for you .
    RUS*RUS: when you're all through .
    RUSmm is (i)t good .
    CHIxxx .
  3. MOTcome on # eat the rest of it .
    MOTxxx of your milk and xxx .
    MOT*MOT: drink it all up and you can have it xxx .
    MOTthe rest of that .
    MOTwant the rest of that soup ?
  4. MOTwant the rest of that soup ?
    MOTdon't you dare .
    RUS*RUS: what am I going to do with all that ?
    MOTyou're going to eat it .
    MOTwhat do you think you're going to do with it .
  5. RUSxxx where I just came from .
    CHIall gone .
    MOT*MOT: it's not all gone .
    MOTwant your ice+cream now and your milk ?
    MOThuh ?
  6. MOTwhere'd Mike go ?
    CHIall gone .
    MOT*MOT: he's all gone .
    CHIxxx all gone .
    MOThe's not gone to school .
  7. MOTin there ?
    MOTno .
    MOT*MOT: peanut butter's almost all gone .
    MOTwe didn't buy any peanut butter when we went to the store # did we .
    CHIxxx .

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_Brown6.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah005.chaSarah 2;3.261,058776.62

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. all7 · 100.0%