PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,350 words searched).

  1. do you want # this book or this one ? MOT · eng_british_Manchester_II/liz01b.cha, line 547 · Liz 1;11
  2. <why don't> [/] why don't you get the [>] Thomas_the_Tank book and we'll have a look at it ? MOT · eng_british_Manchester_II/liz01b.cha, line 706 · Liz 1;11
  3. do you want to get the book and we'll have a look ? MOT · eng_british_Manchester_II/liz01b.cha, line 715 · Liz 1;11
  4. I bought you a new Thoams_the_Tank book the other day and I've just thought . MOT · eng_british_Manchester_II/liz01b.cha, line 722 · Liz 1;11
  5. look here's the new book . MOT · eng_british_Manchester_II/liz01b.cha, line 747 · Liz 1;11
  6. we'll have a look at this new book . MOT · eng_british_Manchester_II/liz01b.cha, line 753 · Liz 1;11
  7. oh another Tank book . MOT · eng_british_Manchester_II/liz01b.cha, line 941 · Liz 1;11
  1. CHIpicture .
    CHIon there .
    MOT*MOT: do you want # this book or this one ?
    MOTI'll have to make a space , won't [: willn't] I ?
    CHIspace .
  2. MOTyeah we'll have it on soon .
    CHITank .
    MOT*MOT: <why don't> [/] why don't you get the [>] Thomas_the_Tank book and we'll have a look at it ?
    CHI<Tank> [<] .
    CHIno .
  3. CHI<Tank> [<] .
    CHIno .
    MOT*MOT: do you want to get the book and we'll have a look ?
    CHITank .
    CHITank .
  4. CHITank .
    CHITank .
    MOT*MOT: I bought you a new Thoams_the_Tank book the other day and I've just thought .
    MOTI can't remember where it is .
    CHITank .
  5. MOTwe're not having the telly on yet .
    MOToh here you are Liz .
    MOT*MOT: look here's the new book .
    CHITank .
    MOTyeah come on .
  6. CHITank .
    MOTyeah come on .
    MOT*MOT: we'll have a look at this new book .
    MOTI haven't seen this one yet .
    MOThave you ?
  7. CHITank .
    CHITank .
    MOT*MOT: oh another Tank book .
    MOToh let's have a look .
    MOTthere's nobody in that one, is there ?

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_II5.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz01b.chaLiz 1;11.091,350775.19

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. book7 · 100.0%