PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

6.24 per 1,000 words of the child (CHI), in 1 of 1 transcripts (261 utterances, 961 words searched).

  1. you'll see what I'm gonna make out of it . CHI · eng_USA_Brown/sarah121.cha, line 395 · Sarah 4;08
  2. I'm goin(g) make a turtle . CHI · eng_USA_Brown/sarah121.cha, line 454 · Sarah 4;08
  3. I'm goin(g) split dis in # like # dis . CHI · eng_USA_Brown/sarah121.cha, line 997 · Sarah 4;08
  4. (a)n(d) I'm gonna make # mask . CHI · eng_USA_Brown/sarah121.cha, line 1003 · Sarah 4;08
  5. I'm goin(g) faint from that . CHI · eng_USA_Brown/sarah121.cha, line 1141 · Sarah 4;08
  6. I'm goin(g) do that again . CHI · eng_USA_Brown/sarah121.cha, line 1269 · Sarah 4;08
  1. CHIdat ain't a real one .
    CHIit's [?] a [?] snake .
    CHI*CHI: you'll see what I'm gonna make out of it .
    MELit looks very fancy .
    CHIdis is a design .
  2. CHIyeah # (a)n(d) bugs <an(d)> [/] # (a)n(d) little tiny bugs [/] # bugs giraffe .
    MELbugs giraffe ?
    CHI*CHI: I'm goin(g) make a turtle .
    MELok .
    CHIis that how ?
  3. MELhow do you tell them apart ?
    CHIhere dis +...
    CHI*CHI: I'm goin(g) split dis in # like # dis .
    CHIyou won't even know it's # goin(g) # up here .
    CHI(a)n(d) I'm gonna make # mask .
  4. CHII'm goin(g) split dis in # like # dis .
    CHIyou won't even know it's # goin(g) # up here .
    CHI*CHI: (a)n(d) I'm gonna make # mask .
    CHIthat's how you make a mask ?
    CHId(o) you know ?
  5. CHInot the Snow_Queen .
    MOTxxx .
    CHI*CHI: I'm goin(g) faint from that .
    MOTyou're gonna faint .
    MOT<well # what's> [//] # well tell me what you're gonna faint about first .
  6. MELall of our heads were upside+down ?
    CHIyep .
    CHI*CHI: I'm goin(g) do that again .
    MOTwhy don't you go do it on the other side .
    MOTI think that's a better idea .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown6.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah121.chaSarah 4;8.13961666.24

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'm6 · 100.0%