PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

7.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (375 utterances, 1,250 words searched).

  1. where ? MOT · eng_british_Manchester_I/becky27b.cha, line 27 · Becky 2;09
  2. where's the other goat ? INV · eng_british_Manchester_I/becky27b.cha, line 31 · Becky 2;09
  3. I can't remember where it is . INV · eng_british_Manchester_I/becky27b.cha, line 37 · Becky 2;09
  4. where are your goats ? MOT · eng_british_Manchester_I/becky27b.cha, line 50 · Becky 2;09
  5. where's what ? MOT · eng_british_Manchester_I/becky27b.cha, line 300 · Becky 2;09
  6. where's that gone ? MOT · eng_british_Manchester_I/becky27b.cha, line 740 · Becky 2;09
  7. where's he done a poo ? INV · eng_british_Manchester_I/becky27b.cha, line 1158 · Becky 2;09
  8. where ? INV · eng_british_Manchester_I/becky27b.cha, line 1176 · Becky 2;09
  9. where ? MOT · eng_british_Manchester_I/becky27b.cha, line 1631 · Becky 2;09
  1. CHIwhere's the other goat ?
    MOThmm ?
    MOT*MOT: where ?
    CHIwhere's other goat .
    INVwhere's the other goat ?
  2. MOTwhere ?
    CHIwhere's other goat .
    INV*INV: where's the other goat ?
    CHIyeah .
    INVI found it actually the other day .
  3. CHIyeah .
    INVI found it actually the other day .
    INV*INV: I can't remember where it is .
    INVI might've left it at home .
    INVthink it's at home .
  4. INVbut <I did> [/] I did find it .
    MOTyou've got your goats , Becky somewhere .
    MOT*MOT: where are your goats ?
    CHIhere .
    CHIoh no .
  5. MOTwhat , Becky ?
    CHIwhere's a +...
    MOT*MOT: where's what ?
    CHIwhere's a +//.
    CHIxxx the baby piggys .
  6. MOTwhoops .
    CHIoh no .
    MOT*MOT: where's that gone ?
    CHIit 0has [*] gone in there .
    CHIxxx .
  7. CHIhe's getting washed .
    MOTis he ?
    INV*INV: where's he done a poo ?
    CHIhe's done a poo in his bottom .
    INVoh .
  8. CHIxxx .
    CHIwhere 0has [*] bath gone ?
    INV*INV: where ?
    MOTyes .
    MOThe can have his bath in there .
  9. CHIfunny face .
    MOTfunny face ?
    MOT*MOT: where ?
    CHIthere .
    MOTthere ?

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. Becky eng_british_Manchester_I7.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky27b.chaBecky 2;9.061,250997.20

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. where9 · 100.0%