PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

10.38 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. that's who ? MOT · eng_USA_Brown/sarah013.cha, line 132 · Sarah 2;05
  3. who's that ? MOT · eng_USA_Brown/sarah013.cha, line 223 · Sarah 2;05
  4. who ? MOT · eng_USA_Brown/sarah013.cha, line 227 · Sarah 2;05
  5. who ? MOT · eng_USA_Brown/sarah013.cha, line 934 · Sarah 2;05
  6. and who's this ? COU · eng_USA_Brown/sarah013.cha, line 1071 · Sarah 2;05
  7. who ? COU · eng_USA_Brown/sarah013.cha, line 1075 · Sarah 2;05
  8. that's Buba [= Sarah's uncle] # and who's this ? COU · eng_USA_Brown/sarah013.cha, line 1079 · Sarah 2;05
  9. who ? COU · eng_USA_Brown/sarah013.cha, line 1089 · Sarah 2;05
  10. who ? COU · eng_USA_Brown/sarah013.cha, line 1264 · Sarah 2;05
  1. MOTmmhm .
    CHIhe cry .
    MOT*MOT: who's this baby ?
    CHITickle .
    MOThuh .
  2. MOThuh .
    CHITickle .
    MOT*MOT: that's who ?
    CHITickle .
    MOTTickle !
  3. MOTall the babies # how they grow and grow and grow .
    CHIxxx .
    MOT*MOT: who's that ?
    CHIBobo@f .
    MOTwho ?
  4. MOTwho's that ?
    CHIBobo@f .
    MOT*MOT: who ?
    CHIBobo@f .
    CHIbow_bow@o .
  5. MOTyou got lipstick on ?
    CHIxxx (lip)stick .
    MOT*MOT: who ?
    CHIxxx .
    MOTyeah # she's got lipstick too .
  6. COUwhere's your Daddy ?
    CHIright here .
    COU*COU: and who's this ?
    CHIbaby .
    COUwho ?
  7. COUand who's this ?
    CHIbaby .
    COU*COU: who ?
    CHIBuba [= Sarah's uncle] .
    COUthat's Buba [= Sarah's uncle] # and who's this ?
  8. COUwho ?
    CHIBuba [= Sarah's uncle] .
    COU*COU: that's Buba [= Sarah's uncle] # and who's this ?
    CHIGrampie .
    COUGrampie # yeah .
  9. COUGrampie # yeah .
    CHIxxx .
    COU*COU: who ?
    CHIxxx .
    MOTthat's Daddy .
  10. COUyou tell me .
    CHIxxx .
    COU*COU: who ?
    CHIxxx .
    CHIyyy .

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_Brown10.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah013.chaSarah 2;5.15963101010.38

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. who10 · 100.0%