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. what's the name of this book ? GLO · eng_USA_Brown/sarah048.cha, line 63 · Sarah 3;02
  2. what's the name of the book . GLO · eng_USA_Brown/sarah048.cha, line 65 · Sarah 3;02
  3. what's the baby's name ? MOT · eng_USA_Brown/sarah048.cha, line 862 · Sarah 3;02
  4. what's his name ? MOT · eng_USA_Brown/sarah048.cha, line 1424 · Sarah 3;02
  1. eng_USA_Brown/sarah048.cha, line 63 · Sarah, 3;2.10
    GLOoh .
    GLOread the story to me ?
    GLO*GLO: what's the name of this book ?
    GLOwhat's the name of the book .
    GLOhmm ?
  2. eng_USA_Brown/sarah048.cha, line 65 · Sarah, 3;2.10
    GLOread the story to me ?
    GLOwhat's the name of this book ?
    GLO*GLO: what's the name of the book .
    GLOhmm ?
    CHIonce upon a time +...
  3. eng_USA_Brown/sarah048.cha, line 862 · Sarah, 3;2.10
    CHIno <th(ey're)> [//] it's blue .
    CHIshe my baby .
    MOT*MOT: what's the baby's name ?
    CHIum Donna .
    MOToh .
  4. eng_USA_Brown/sarah048.cha, line 1424 · Sarah, 3;2.10
    CHIno # way .
    MOT<wha(t)> [//] what're you ridin(g) on ?
    MOT*MOT: what's his name ?
    CHIhuh ?
    CHI# he [//] he's a pony .

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. name4 · 100.0%