PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 1,248 words searched).

  1. do # what's up # doc . MOT · eng_USA_Brown/sarah003.cha, line 139 · Sarah 2;03
  2. do you like ice+cream ? MOT · eng_USA_Brown/sarah003.cha, line 784 · Sarah 2;03
  3. do you like ice+cream ? GLO · eng_USA_Brown/sarah003.cha, line 788 · Sarah 2;03
  4. I (do)n't know # I couldn't find it . MOT · eng_USA_Brown/sarah003.cha, line 1459 · Sarah 2;03
  5. do you have a tail ? FAT · eng_USA_Brown/sarah003.cha, line 1696 · Sarah 2;03
  1. MOTshe usually says afterward what the bunny says .
    CHIhi xxx .
    MOT*MOT: do # what's up # doc .
    MOTwhat did Bugs say ?
    CHItake it easy .
  2. MOTice+cream .
    CHIice+cream .
    MOT*MOT: do you like ice+cream ?
    CHI0 .
    GLOdo you like ice+cream ?
  3. MOTdo you like ice+cream ?
    CHI0 .
    GLO*GLO: do you like ice+cream ?
    GLOsay # I like xxx .
    CHI0 .
  4. CHIdoggie gone ?
    FATwhere's the other book ?
    MOT*MOT: I (do)n't know # I couldn't find it .
    MOTI don't know what she did with it .
    MOTshe had it .
  5. CHImore tail gone ?
    FAThis tail's gone too .
    FAT*FAT: do you have a tail ?
    FATSarah ?
    MOTSarah # Daddy's talking to you .

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_Brown4.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah003.chaSarah 2;3.191,248554.01

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. do5 · 100.0%