PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (378 utterances, 1,497 words searched).

  1. what'd he do ? MOT · eng_USA_Brown/sarah029.cha, line 133 · Sarah 2;09
  2. but what [//] where is he now ? MOT · eng_USA_Brown/sarah029.cha, line 139 · Sarah 2;09
  3. he grows vegetables . FAT · eng_USA_Brown/sarah029.cha, line 768 · Sarah 2;09
  4. did he scratch you ? FAT · eng_USA_Brown/sarah029.cha, line 1000 · Sarah 2;09
  5. he jumped up ? FAT · eng_USA_Brown/sarah029.cha, line 1002 · Sarah 2;09
  6. where'd he scratch you ? FAT · eng_USA_Brown/sarah029.cha, line 1006 · Sarah 2;09
  1. FATa motorcycle .
    FATwhat'd the motorcycle do ?
    MOT*MOT: what'd he do ?
    FATwhere did Mike go ?
    CHIa street .
  2. FATwhere did Mike go ?
    CHIa street .
    MOT*MOT: but what [//] where is he now ?
    MOTwhere's Mike now ?
    FATup in heaven ?
  3. FATa farmer grows food .
    CHIfood .
    FAT*FAT: he grows vegetables .
    CHIyes .
    FATlettuce .
  4. FATAuntie Marion's dog .
    FATright ?
    FAT*FAT: did he scratch you ?
    FAThe jumped up ?
    CHIyes .
  5. FATright ?
    FATdid he scratch you ?
    FAT*FAT: he jumped up ?
    CHIyes .
    FATwhere'd he scratch you ?
  6. FAThe jumped up ?
    CHIyes .
    FAT*FAT: where'd he scratch you ?
    CHIright here .
    FATwhere's that ?

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/sarah029.chaSarah 2;9.141,497664.01

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. he6 · 100.0%