PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (245 utterances, 1,075 words searched).

  1. over at Aunt_Dot's . MOT · eng_USA_Brown/sarah069.cha, line 194 · Sarah 3;07
  2. (be)cause Aunt_Dot's comin(g) . MOT · eng_USA_Brown/sarah069.cha, line 265 · Sarah 3;07
  3. you were up Aunt_Dot's . MOT · eng_USA_Brown/sarah069.cha, line 947 · Sarah 3;07
  1. eng_USA_Brown/sarah069.cha, line 194 · Sarah, 3;7.16
    MOTthat filth .
    MOTwhere's ya see the horse .
    MOT*MOT: over at Aunt_Dot's .
    MOTUncle +...
    KENGeorgie took ya to the horsie .
  2. eng_USA_Brown/sarah069.cha, line 265 · Sarah, 3;7.16
    MOTwe can make a cake later .
    CHIhow_come ?
    MOT*MOT: (be)cause Aunt_Dot's comin(g) .
    MOT(a)n(d) Arthur (a)n(d) Uncle_Georgie .
    CHI0 [=! makes noises] .
  3. eng_USA_Brown/sarah069.cha, line 947 · Sarah, 3;7.16
    MOTSarah # you couldn't have seen My_Three_Sons yesterday (be)cause you you weren't even home .
    MOTyou didn't see any television yesterday .
    MOT*MOT: you were up Aunt_Dot's .
    MOTremember ?
    MOTis it me or is this table shaking ?

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_Brown2.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah069.chaSarah 3;7.161,075332.79

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. aunt_dot's3 · 100.0%