PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (318 utterances, 1,519 words searched).

  1. xxx # d(o) you want my house keys ? MOT · eng_USA_Brown/sarah091.cha, line 681 · Sarah 4;01
  2. I've got your keys . FAT · eng_USA_Brown/sarah091.cha, line 689 · Sarah 4;01
  3. oh # did you take my keys ? MOT · eng_USA_Brown/sarah091.cha, line 691 · Sarah 4;01
  4. I want my keys . FAT · eng_USA_Brown/sarah091.cha, line 693 · Sarah 4;01
  1. eng_USA_Brown/sarah091.cha, line 681 · Sarah, 4;1.11
    MELdoes it still work ?
    FAT0 .
    MOT*MOT: xxx # d(o) you want my house keys ?
    MOTno .
    FATno .
  2. eng_USA_Brown/sarah091.cha, line 689 · Sarah, 4;1.11
    MOTno .
    FATno .
    FAT*FAT: I've got your keys .
    MOToh # did you take my keys ?
    FATI want my keys .
  3. eng_USA_Brown/sarah091.cha, line 691 · Sarah, 4;1.11
    FATno .
    FATI've got your keys .
    MOT*MOT: oh # did you take my keys ?
    FATI want my keys .
    MOTover there # by the xxx .
  4. eng_USA_Brown/sarah091.cha, line 693 · Sarah, 4;1.11
    FATI've got your keys .
    MOToh # did you take my keys ?
    FAT*FAT: I want my keys .
    MOTover there # by the xxx .
    CHIgo way xxx .

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_Brown2.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah091.chaSarah 4;1.111,519442.63

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. keys4 · 100.0%