PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (517 utterances, 1,954 words searched).

  1. Ann_Marie # or Sandra tell you how to do that ? MOT · eng_USA_Brown/sarah035.cha, line 861 · Sarah 2;10
  2. Sandra ? FAT · eng_USA_Brown/sarah035.cha, line 1676 · Sarah 2;10
  3. Sandra [?] . MOT · eng_USA_Brown/sarah035.cha, line 1687 · Sarah 2;10
  4. Sandra [?] . FAT · eng_USA_Brown/sarah035.cha, line 1689 · Sarah 2;10
  5. oh Sandra sounds nice . FAT · eng_USA_Brown/sarah035.cha, line 1692 · Sarah 2;10
  6. Sandra . MOT · eng_USA_Brown/sarah035.cha, line 1695 · Sarah 2;10
  1. MOTwho told ya ?
    CHIme .
    MOT*MOT: Ann_Marie # or Sandra tell you how to do that ?
    MOThuh ?
    CHIyep .
  2. GLOwho showed you how ?
    CHISandra ?
    FAT*FAT: Sandra ?
    FATwait'll I get hold of her .
    CHISandra .
  3. GLOwhat ?
    CHISandra .
    MOT*MOT: Sandra [?] .
    FATSandra [?] .
    FAToh Sandra sounds nice .
  4. CHISandra .
    MOTSandra [?] .
    FAT*FAT: Sandra [?] .
    FAToh Sandra sounds nice .
    MOTSandra .
  5. MOTSandra [?] .
    FATSandra [?] .
    FAT*FAT: oh Sandra sounds nice .
    MOTSandra .
    MOTyou slippin(g) ?
  6. FATSandra [?] .
    FAToh Sandra sounds nice .
    MOT*MOT: Sandra .
    MOTyou slippin(g) ?
    CHIyeah .

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_Brown3.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah035.chaSarah 2;10.241,954663.07

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. sandra6 · 100.0%