PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,355 words searched).

  1. in my little book . INV · eng_british_Manchester_II/liz08a.cha, line 37 · Liz 2;01
  2. Liz shall we look at the rest of the book ? MOT · eng_british_Manchester_II/liz08a.cha, line 460 · Liz 2;01
  3. okay you bring a book in then . MOT · eng_british_Manchester_II/liz08a.cha, line 823 · Liz 2;01
  4. shall we finish this book with Postman_Pat in ? MOT · eng_british_Manchester_II/liz08a.cha, line 827 · Liz 2;01
  5. did you squash the book , did you ? MOT · eng_british_Manchester_II/liz08a.cha, line 1083 · Liz 2;01
  6. I don't think there's a doctor in that book . MOT · eng_british_Manchester_II/liz08a.cha, line 1096 · Liz 2;01
  1. eng_british_Manchester_II/liz08a.cha, line 37 · Liz, 2;1.25
    CHIare you writing ?
    INVyes I am writing .
    INV*INV: in my little book .
    CHILiz little book .
    MOTmmhm .
  2. eng_british_Manchester_II/liz08a.cha, line 460 · Liz, 2;1.25
    INVyou're very noisy , aren't you ?
    CHIyeah .
    MOT*MOT: Liz shall we look at the rest of the book ?
    MOTeh ?
    MOTsee what else is in it ?
  3. eng_british_Manchester_II/liz08a.cha, line 823 · Liz, 2;1.25
    MOTyou think you do ?
    CHII bring a book .
    MOT*MOT: okay you bring a book in then .
    CHIletter .
    MOTshall we finish this book with Postman_Pat in ?
  4. eng_british_Manchester_II/liz08a.cha, line 827 · Liz, 2;1.25
    MOTokay you bring a book in then .
    CHIletter .
    MOT*MOT: shall we finish this book with Postman_Pat in ?
    MOTeh ?
    CHIletter .
  5. eng_british_Manchester_II/liz08a.cha, line 1083 · Liz, 2;1.25
    MOTand this little piggy went whee [x 3] all the way home .
    CHIbook .
    MOT*MOT: did you squash the book , did you ?
    MOToh: .
    MOTwhoops .
  6. eng_british_Manchester_II/liz08a.cha, line 1096 · Liz, 2;1.25
    CHIdoctor .
    CHIdoctor .
    MOT*MOT: I don't think there's a doctor in that book .
    MOTthe doctor is in Miss_Giggles , isn't he ?
    MOTand he's in Miss_Helpful as well I think .

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_II4.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz08a.chaLiz 2;1.251,355664.43

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. book6 · 100.0%