PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

5.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (195 utterances, 780 words searched).

  1. that was a pretty big cup of coffee . MOT · eng_USA_Brown/sarah126.cha, line 953 · Sarah 4;09
  2. but now that you're big you haven't ? MOT · eng_USA_Brown/sarah126.cha, line 978 · Sarah 4;09
  3. are you big # great big now ? MEL · eng_USA_Brown/sarah126.cha, line 984 · Sarah 4;09
  4. are you big # great big now ? MEL · eng_USA_Brown/sarah126.cha, line 984 · Sarah 4;09
  1. eng_USA_Brown/sarah126.cha, line 953 · Sarah, 4;9.26
    CHIMommy # I drank all your coffee .
    MELshe seemed to be awfully xxx .
    MOT*MOT: that was a pretty big cup of coffee .
    CHII ate all your coffee .
    MOTyou drank all my coffee ?
  2. eng_USA_Brown/sarah126.cha, line 978 · Sarah, 4;9.26
    CHIa lot o(f) times I did # when I was little .
    MOTI usually catch her .
    MOT*MOT: but now that you're big you haven't ?
    CHInope .
    CHIstand on my tippy+toes .
  3. eng_USA_Brown/sarah126.cha, line 984 · Sarah, 4;9.26
    CHInope .
    CHIstand on my tippy+toes .
    MEL*MEL: are you big # great big now ?
    CHIyep .
    CHII can stand on my tippy+toes .

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_Brown5.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah126.chaSarah 4;9.26780345.13

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%