PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (247 utterances, 1,182 words searched).

  1. that's Mr Ears . MOT · eng_USA_Brown/sarah088.cha, line 139 · Sarah 4;00
  2. that's pretty good . FAT · eng_USA_Brown/sarah088.cha, line 358 · Sarah 4;00
  3. that's right . FAT · eng_USA_Brown/sarah088.cha, line 364 · Sarah 4;00
  4. that's right . MOT · eng_USA_Brown/sarah088.cha, line 653 · Sarah 4;00
  5. that's enough . MOT · eng_USA_Brown/sarah088.cha, line 1065 · Sarah 4;00
  1. FATMr Ears ?
    MOTyes .
    MOT*MOT: that's Mr Ears .
    CHIhere comes pretty dollie .
    CHIhere comes pretty dollie .
  2. FATyou didn't even break him yet .
    CHInope .
    FAT*FAT: that's pretty good .
    FATshall we work him ?
    CHIpress its head .
  3. FATshall we work him ?
    CHIpress its head .
    FAT*FAT: that's right .
    CHIwhoop it .
    FATxxx you're really good at that now .
  4. CHIyou can huh ?
    CHIif you do hard # you can't huh ?
    MOT*MOT: that's right .
    MOTI don't think I can get this one off either .
    CHIyou should # turn it around # (a)n(d) turn this # (a)n(d) turn # (a)n(d) turn .
  5. MOTnot finished yet .
    CHIpour +...
    MOT*MOT: that's enough .
    MOTjust a little bit .
    CHIwhy ?

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_Brown4.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah088.chaSarah 4;0.141,182554.23

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's5 · 100.0%