PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (372 utterances, 1,452 words searched).

  1. now say down . MOT · eng_USA_Brown/sarah021.cha, line 26 · Sarah 2;07
  2. what does the mouse say ? MOT · eng_USA_Brown/sarah021.cha, line 664 · Sarah 2;07
  3. what's the mouse say now ? FAT · eng_USA_Brown/sarah021.cha, line 993 · Sarah 2;07
  4. what's the mouse say ? FAT · eng_USA_Brown/sarah021.cha, line 997 · Sarah 2;07
  5. what's he say ? FAT · eng_USA_Brown/sarah021.cha, line 1123 · Sarah 2;07
  1. CHIbarrette .
    MOTway down .
    MOT*MOT: now say down .
    MOTwa:y down .
    CHIyyy xxx Mommy .
  2. FATdo you like cheese ?
    CHIyes .
    MOT*MOT: what does the mouse say ?
    CHImeow@o .
    MOTno [>] .
  3. CHIa bite me .
    MOThe bite you ?
    FAT*FAT: what's the mouse say now ?
    FAT(re)member ?
    FATwhat's the mouse say ?
  4. FATwhat's the mouse say now ?
    FAT(re)member ?
    FAT*FAT: what's the mouse say ?
    CHII hit him .
    FAThe says # +"/.
  5. FATwhat's his name ?
    CHIdoggie .
    FAT*FAT: what's he say ?
    CHIbow_wow@o .
    CHIhere .

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_Brown3.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah021.chaSarah 2;7.121,452553.44

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. say5 · 100.0%