PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (280 utterances, 1,032 words searched).

  1. I'm not # all here . MOT · eng_USA_Brown/sarah076.cha, line 461 · Sarah 3;09
  2. I'm xxx get a little better . MOT · eng_USA_Brown/sarah076.cha, line 680 · Sarah 3;09
  3. I'm real smart . MOT · eng_USA_Brown/sarah076.cha, line 810 · Sarah 3;09
  1. eng_USA_Brown/sarah076.cha, line 461 · Sarah, 3;9.03
    BROoh great .
    MOTwhy don't ya say somethin(g) ?
    MOT*MOT: I'm not # all here .
    CHIlook what I made .
    MOToh that's good .
  2. eng_USA_Brown/sarah076.cha, line 680 · Sarah, 3;9.03
    MOTnow # well # put this one down # the ground .
    MOTthat's kind of right .
    MOT*MOT: I'm xxx get a little better .
    KENSarah on a diet .
    MOTyeah .
  3. eng_USA_Brown/sarah076.cha, line 810 · Sarah, 3;9.03
    CHIhey you make one that way (a)n(d) that way .
    MOToh yeah .
    MOT*MOT: I'm real smart .
    CHIthat looks # right here ?
    MOTI don't # really don't care where .

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_Brown2.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah076.chaSarah 3;9.031,032332.91

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. i'm3 · 100.0%