PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (302 utterances, 1,019 words searched).

  1. well # that's naughty you know . FAT · eng_USA_Brown/sarah042.cha, line 477 · Sarah 3;00
  2. well # ya gonna be a good girl ? MOT · eng_USA_Brown/sarah042.cha, line 917 · Sarah 3;00
  3. <well # go in there and look> [?] . MOT · eng_USA_Brown/sarah042.cha, line 1276 · Sarah 3;00
  4. <well # go in there and look> [<] by the bureau . FAT · eng_USA_Brown/sarah042.cha, line 1278 · Sarah 3;00
  1. FATwhy ?
    CHI(be)cause # I always step on the flowers .
    FAT*FAT: well # that's naughty you know .
    CHII know .
    MOTwhat are you looking for ?
  2. CHIyeah .
    CHII xxx .
    MOT*MOT: well # ya gonna be a good girl ?
    CHIyeah .
    MOTwhat do you want him to bring you ?
  3. FATwhere's your bed+room ?
    CHIin (h)ere .
    MOT*MOT: <well # go in there and look> [?] .
    FAT<well # go in there and look> [<] by the bureau .
    FATfind them ?
  4. CHIin (h)ere .
    MOT<well # go in there and look> [?] .
    FAT*FAT: <well # go in there and look> [<] by the bureau .
    FATfind them ?
    CHIno .

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_Brown3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah042.chaSarah 3;0.271,019443.93

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. well4 · 100.0%