PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. (a)n(d) if your not good Donna won't come over this afternoon (a)n(d) play with you either . MOT · eng_USA_Brown/sarah076.cha, line 137 · Sarah 3;09
  2. this a s@l . MOT · eng_USA_Brown/sarah076.cha, line 381 · Sarah 3;09
  3. see if you can do this . MOT · eng_USA_Brown/sarah076.cha, line 416 · Sarah 3;09
  4. see # like this one down here . MOT · eng_USA_Brown/sarah076.cha, line 443 · Sarah 3;09
  5. now # well # put this one down # the ground . MOT · eng_USA_Brown/sarah076.cha, line 675 · Sarah 3;09
  6. this way . MOT · eng_USA_Brown/sarah076.cha, line 794 · Sarah 3;09
  1. eng_USA_Brown/sarah076.cha, line 137 · Sarah, 3;9.03
    MOT(a)n(d) the day before .
    CHIuhuh .
    MOT*MOT: (a)n(d) if your not good Donna won't come over this afternoon (a)n(d) play with you either .
    CHII just goin(g) make a bubble .
    MOTyou're goin(g) to have a bubble .
  2. eng_USA_Brown/sarah076.cha, line 381 · Sarah, 3;9.03
    CHII can make # one .
    MOTthat's not a s@l .
    MOT*MOT: this a s@l .
    CHIthat's my name .
    CHI(a)n(d) the s@l .
  3. eng_USA_Brown/sarah076.cha, line 416 · Sarah, 3;9.03
    CHIhey .
    MOTwatch .
    MOT*MOT: see if you can do this .
    CHIoh look at this beautiful +...
    MOTnow see if you can write it down here .
  4. eng_USA_Brown/sarah076.cha, line 443 · Sarah, 3;9.03
    CHIyes I can .
    MOTwrite underneath .
    MOT*MOT: see # like this one down here .
    CHIoh .
    MOTthat doesn't look like that .
  5. eng_USA_Brown/sarah076.cha, line 675 · Sarah, 3;9.03
    CHIup +...
    MOTyeah up # little leg # from here up to the sky .
    MOT*MOT: now # well # put this one down # the ground .
    MOTthat's kind of right .
    MOTI'm xxx get a little better .
  6. eng_USA_Brown/sarah076.cha, line 794 · Sarah, 3;9.03
    CHIdown +...
    MOTthat looks like yyy .
    MOT*MOT: this way .
    MOTsee now .
    MOTdown # down # (a)n(d) over .

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_Brown5.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah076.chaSarah 3;9.031,032665.81

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. this6 · 100.0%