PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 1,248 words searched).

  1. who's this ? FAT · eng_USA_Brown/sarah003.cha, line 229 · Sarah 2;03
  2. who's that ? MEL · eng_USA_Brown/sarah003.cha, line 233 · Sarah 2;03
  3. who's that ? FAT · eng_USA_Brown/sarah003.cha, line 242 · Sarah 2;03
  4. who's that ? MEL · eng_USA_Brown/sarah003.cha, line 293 · Sarah 2;03
  5. who's that ? FAT · eng_USA_Brown/sarah003.cha, line 301 · Sarah 2;03
  6. sing # who's sorry now . MOT · eng_USA_Brown/sarah003.cha, line 1751 · Sarah 2;03
  7. oh # who's that ? MOT · eng_USA_Brown/sarah003.cha, line 1790 · Sarah 2;03
  8. who's Daddy got ? MOT · eng_USA_Brown/sarah003.cha, line 1792 · Sarah 2;03
  1. eng_USA_Brown/sarah003.cha, line 229 · Sarah, 2;3.19
    FATc(o)me on up here .
    FATc(o)me on up here .
    FAT*FAT: who's this ?
    CHIMommy .
    MELwho's that ?
  2. eng_USA_Brown/sarah003.cha, line 233 · Sarah, 2;3.19
    FATwho's this ?
    CHIMommy .
    MEL*MEL: who's that ?
    CHIxxx .
    CHIyyy .
  3. eng_USA_Brown/sarah003.cha, line 242 · Sarah, 2;3.19
    CHIyyy .
    FATDaddy .
    FAT*FAT: who's that ?
    CHIbaby .
    FATxxx .
  4. eng_USA_Brown/sarah003.cha, line 293 · Sarah, 2;3.19
    CHIdress .
    MELdress .
    MEL*MEL: who's that ?
    CHIxxx .
    FATa boy .
  5. eng_USA_Brown/sarah003.cha, line 301 · Sarah, 2;3.19
    FATa boy .
    CHIboy .
    FAT*FAT: who's that ?
    CHIxxx .
    CHIa Mummy .
  6. eng_USA_Brown/sarah003.cha, line 1751 · Sarah, 2;3.19
    CHIright dere .
    CHIxxx .
    MOT*MOT: sing # who's sorry now .
    CHIsorry now .
    MOTxxx .
  7. eng_USA_Brown/sarah003.cha, line 1790 · Sarah, 2;3.19
    FAT0 .
    FATsee what I got ?
    MOT*MOT: oh # who's that ?
    MOTwho's Daddy got ?
    CHIBobo@f .
  8. eng_USA_Brown/sarah003.cha, line 1792 · Sarah, 2;3.19
    FATsee what I got ?
    MOToh # who's that ?
    MOT*MOT: who's Daddy got ?
    CHIBobo@f .
    MOTBobo@f .

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_Brown6.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah003.chaSarah 2;3.191,248886.41

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. who's8 · 100.0%