PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

15.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (189 utterances, 571 words searched).

  1. yeah # do this . MOT · eng_USA_Brown/sarah015.cha, line 373 · Sarah 2;05
  2. this one goes next . MOT · eng_USA_Brown/sarah015.cha, line 378 · Sarah 2;05
  3. then this one . MOT · eng_USA_Brown/sarah015.cha, line 382 · Sarah 2;05
  4. this one # the big one . MOT · eng_USA_Brown/sarah015.cha, line 407 · Sarah 2;05
  5. yeah # then this one . MOT · eng_USA_Brown/sarah015.cha, line 409 · Sarah 2;05
  6. try it this way . GLO · eng_USA_Brown/sarah015.cha, line 588 · Sarah 2;05
  7. watch this . GLO · eng_USA_Brown/sarah015.cha, line 930 · Sarah 2;05
  8. what's this ? COU · eng_USA_Brown/sarah015.cha, line 1288 · Sarah 2;05
  9. look at this . GLO · eng_USA_Brown/sarah015.cha, line 1300 · Sarah 2;05
  1. MOTwhat ?
    CHII pull dat ?
    MOT*MOT: yeah # do this .
    MOTxxx .
    MOTthis one goes next .
  2. MOTyeah # do this .
    MOTxxx .
    MOT*MOT: this one goes next .
    MOTsee ?
    MOTthen this one .
  3. MOTthis one goes next .
    MOTsee ?
    MOT*MOT: then this one .
    MOTwe had one of these # you remember ?
    MOTxxx red one blue one ?
  4. CHIxxx .
    MOTno # the big one goes first .
    MOT*MOT: this one # the big one .
    MOTyeah # then this one .
    CHIbig one xxx .
  5. MOTno # the big one goes first .
    MOTthis one # the big one .
    MOT*MOT: yeah # then this one .
    CHIbig one xxx .
    MOTxxx orange one .
  6. CHIdoggie .
    CHIdoggie .
    GLO*GLO: try it this way .
    CHIyyy ?
    CHIyyy ?
  7. CHIdat .
    GLOoh # that's a fun toy .
    GLO*GLO: watch this .
    GLOlet me show you .
    GLOsee if you hold it here # it walks .
  8. CHIxxx too .
    CHIxxx .
    COU*COU: what's this ?
    CHIme .
    CHIxxx door .
  9. CHIxxx door .
    CHIxxx .
    GLO*GLO: look at this .

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_Brown15.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah015.chaSarah 2;5.305719915.76

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. this9 · 100.0%