PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

10.32 per 1,000 words of the child (CHI), in 1 of 1 transcripts (254 utterances, 775 words searched).

  1. that's good . CHI · eng_USA_Brown/sarah114.cha, line 283 · Sarah 4;06
  2. that's good . CHI · eng_USA_Brown/sarah114.cha, line 285 · Sarah 4;06
  3. that's out . CHI · eng_USA_Brown/sarah114.cha, line 287 · Sarah 4;06
  4. that's ok . CHI · eng_USA_Brown/sarah114.cha, line 302 · Sarah 4;06
  5. um # that's because I'm four years old ! CHI · eng_USA_Brown/sarah114.cha, line 469 · Sarah 4;06
  6. that's a teapot . CHI · eng_USA_Brown/sarah114.cha, line 496 · Sarah 4;06
  7. that's how you make it ? CHI · eng_USA_Brown/sarah114.cha, line 553 · Sarah 4;06
  8. your name that's in there # you're talking to . CHI · eng_USA_Brown/sarah114.cha, line 997 · Sarah 4;06
  1. CHIhey # what I sayin(g) you # but I was doin(g) it !
    MOTI think you'd better forget that one .
    CHI*CHI: that's good .
    CHIthat's good .
    CHIthat's out .
  2. MOTI think you'd better forget that one .
    CHIthat's good .
    CHI*CHI: that's good .
    CHIthat's out .
    MOTput the xxx before the xxx # ya know .
  3. CHIthat's good .
    CHIthat's good .
    CHI*CHI: that's out .
    MOTput the xxx before the xxx # ya know .
    CHIhuh ?
  4. MOTno .
    MOTxxx # xxx # and a xxx here .
    CHI*CHI: that's ok .
    MOTwell it doesn't spell dog if you're gonna write o@l d@l g@l .
    MOTit's gonna be d@l o@l g@l .
  5. CHIfour .
    MOTwhat's that for ?
    CHI*CHI: um # that's because I'm four years old !
    MOToh # I'm sorry .
    MOTthat's because you're four years old .
  6. CHIxxx .
    MOTwhat's that ?
    CHI*CHI: that's a teapot .
    CHIa big one .
    MOTa big one ?
  7. CHIyou did it good !
    MELthank+you .
    CHI*CHI: that's how you make it ?
    MELthat's how you make one kind .
    CHIit looks like a sink to me .
  8. MELtape recorder .
    CHInot dat one .
    CHI*CHI: your name that's in there # you're talking to .
    MELyour name what ?
    CHIinto you're talking to .

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_Brown10.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah114.chaSarah 4;6.177758810.32

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. that's8 · 100.0%