PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

4.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (261 utterances, 963 words searched).

  1. who's this baby ? MOT · eng_USA_Brown/sarah013.cha, line 124 · Sarah 2;05
  2. who's that ? MOT · eng_USA_Brown/sarah013.cha, line 223 · Sarah 2;05
  3. and who's this ? COU · eng_USA_Brown/sarah013.cha, line 1071 · Sarah 2;05
  4. that's Buba [= Sarah's uncle] # and who's this ? COU · eng_USA_Brown/sarah013.cha, line 1079 · Sarah 2;05
  1. eng_USA_Brown/sarah013.cha, line 124 · Sarah, 2;5.15
    MOTmmhm .
    CHIhe cry .
    MOT*MOT: who's this baby ?
    CHITickle .
    MOThuh .
  2. eng_USA_Brown/sarah013.cha, line 223 · Sarah, 2;5.15
    MOTall the babies # how they grow and grow and grow .
    CHIxxx .
    MOT*MOT: who's that ?
    CHIBobo@f .
    MOTwho ?
  3. eng_USA_Brown/sarah013.cha, line 1071 · Sarah, 2;5.15
    COUwhere's your Daddy ?
    CHIright here .
    COU*COU: and who's this ?
    CHIbaby .
    COUwho ?
  4. eng_USA_Brown/sarah013.cha, line 1079 · Sarah, 2;5.15
    COUwho ?
    CHIBuba [= Sarah's uncle] .
    COU*COU: that's Buba [= Sarah's uncle] # and who's this ?
    CHIGrampie .
    COUGrampie # yeah .

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_Brown4.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah013.chaSarah 2;5.15963444.15

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's4 · 100.0%