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. pretty nice dresses ? FAT · eng_USA_Brown/sarah021.cha, line 250 · Sarah 2;07
  2. pretty nice . FAT · eng_USA_Brown/sarah021.cha, line 600 · Sarah 2;07
  3. oh yeah # pretty nice . MOT · eng_USA_Brown/sarah021.cha, line 602 · Sarah 2;07
  4. no # he's a nice doggie . FAT · eng_USA_Brown/sarah021.cha, line 1138 · Sarah 2;07
  5. isn't that nice ? FAT · eng_USA_Brown/sarah021.cha, line 1244 · Sarah 2;07
  1. FATtwo dresses .
    CHII go .
    FAT*FAT: pretty nice dresses ?
    CHII want juice .
    FATno # not [//] later .
  2. CHIBobo@f .
    MOThey # Donnie # what was it she said to me this morning when I put the slip on her ?
    FAT*FAT: pretty nice .
    MOToh yeah # pretty nice .
    CHIHugabye .
  3. MOThey # Donnie # what was it she said to me this morning when I put the slip on her ?
    FATpretty nice .
    MOT*MOT: oh yeah # pretty nice .
    CHIHugabye .
    CHIHugabye .
  4. FATno # he didn't .
    FAThe didn't bite you .
    FAT*FAT: no # he's a nice doggie .
    CHIhe tail .
    CHIhe xxx tail .
  5. FATsee # Elsie's got lipstick on .
    CHIoh .
    FAT*FAT: isn't that nice ?
    CHIhere for .
    CHIdere .

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. nice5 · 100.0%