PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

12.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (187 utterances, 704 words searched).

  1. what's up love ? MOT · eng_british_Manchester_II/liz33a.cha, line 90 · Liz 2;10
  2. what are you waiting for ? MOT · eng_british_Manchester_II/liz33a.cha, line 92 · Liz 2;10
  3. what ? MOT · eng_british_Manchester_II/liz33a.cha, line 94 · Liz 2;10
  4. what ? MOT · eng_british_Manchester_II/liz33a.cha, line 100 · Liz 2;10
  5. what're you waiting for ? MOT · eng_british_Manchester_II/liz33a.cha, line 102 · Liz 2;10
  6. what's the matter with your foot darling ? MOT · eng_british_Manchester_II/liz33a.cha, line 142 · Liz 2;10
  7. what's the matter love ? MOT · eng_british_Manchester_II/liz33a.cha, line 268 · Liz 2;10
  8. what's up ? MOT · eng_british_Manchester_II/liz33a.cha, line 270 · Liz 2;10
  9. what did you just do ? MOT · eng_british_Manchester_II/liz33a.cha, line 674 · Liz 2;10
  1. MOTforty five pound .
    MOTit's ridiculous .
    MOT*MOT: what's up love ?
    MOTwhat are you waiting for ?
    MOTwhat ?
  2. MOTit's ridiculous .
    MOTwhat's up love ?
    MOT*MOT: what are you waiting for ?
    MOTwhat ?
    MOTcome here .
  3. MOTwhat's up love ?
    MOTwhat are you waiting for ?
    MOT*MOT: what ?
    MOTcome here .
    MOToh: .
  4. MOTcome here .
    MOToh: .
    MOT*MOT: what ?
    MOTwhat're you waiting for ?
    CHIDaddy .
  5. MOToh: .
    MOTwhat ?
    MOT*MOT: what're you waiting for ?
    CHIDaddy .
    MOTeh ?
  6. MOTeh ?
    MOTexcuse me .
    MOT*MOT: what's the matter with your foot darling ?
    CHIa black lid .
    MOToh yes .
  7. CHIdo you want some ?
    INVoh yes please .
    MOT*MOT: what's the matter love ?
    MOTwhat's up ?
    MOThmm ?
  8. INVoh yes please .
    MOTwhat's the matter love ?
    MOT*MOT: what's up ?
    MOThmm ?
    CHIcome on .
  9. CHII get your [/] your leg off .
    MOTare you all right , .
    MOT*MOT: what did you just do ?
    MOTare you taking the dolly's leg off ?
    MOTI thought you were struggling with something .

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. Liz eng_british_Manchester_II12.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz33a.chaLiz 2;10.117049912.78

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. what9 · 100.0%