PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (621 utterances, 1,273 words searched).

  1. is that your dollie # honey ? GLO · eng_USA_Brown/sarah002.cha, line 88
  2. I'm going to write # honey . GLO · eng_USA_Brown/sarah002.cha, line 148
  3. is that a baby # honey ? MOT · eng_USA_Brown/sarah002.cha, line 291
  1. eng_USA_Brown/sarah002.cha, line 88
    GLOwhat's that ?
    GLOis that your dollie ?
    GLO*GLO: is that your dollie # honey ?
    GLOwhat's this ?
    SARa skirt .
  2. eng_USA_Brown/sarah002.cha, line 148
    MOTyou know what you'll get .
    MOTyou know .
    GLO*GLO: I'm going to write # honey .
    MOTwanna read ?
    MOThuh ?
  3. eng_USA_Brown/sarah002.cha, line 291
    MOTa baby .
    SARhi # baby .
    MOT*MOT: is that a baby # honey ?
    SARxx baby .
    MOTwhat's this ?

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown2.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah002.chaSarah 1,273332.36

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. honey3 · 100.0%