PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,304 words searched).

  1. we had a big argument over that doll the other day . MOT · eng_USA_Brown/sarah048.cha, line 869 · Sarah 3;02
  2. oh # you're such a big girl now . MOT · eng_USA_Brown/sarah048.cha, line 1057 · Sarah 3;02
  3. she has a big mouth . GLO · eng_USA_Brown/sarah048.cha, line 1244 · Sarah 3;02
  4. two great big boxes full . MOT · eng_USA_Brown/sarah048.cha, line 1384 · Sarah 3;02
  1. eng_USA_Brown/sarah048.cha, line 869 · Sarah, 3;2.10
    CHIum Donna .
    MOToh .
    MOT*MOT: we had a big argument over that doll the other day .
    CHIwhat ?
    CHIDonna ?
  2. eng_USA_Brown/sarah048.cha, line 1057 · Sarah, 3;2.10
    CHI0 .
    MOTyou're goin(g) to wak(e) up the dead .
    MOT*MOT: oh # you're such a big girl now .
    MOThuh .
    MOTwho [//] who's that ?
  3. eng_USA_Brown/sarah048.cha, line 1244 · Sarah, 3;2.10
    GLOshe does ?
    CHI0 .
    GLO*GLO: she has a big mouth .
    CHIxxx .
    CHIeee .
  4. eng_USA_Brown/sarah048.cha, line 1384 · Sarah, 3;2.10
    CHII wan(t) two for my dollie .
    MOTthe other day you needed kleenex too .
    MOT*MOT: two great big boxes full .
    CHII wan(t) two fo(r) my yyy .
    MOTone # two .

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_Brown3.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah048.chaSarah 3;2.101,304443.07

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. big4 · 100.0%