PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (644 utterances, 2,473 words searched).

  1. what book's that ? MOT · eng_british_Manchester_I/gail05a.cha, line 612 · Gail 2;01
  2. what new book's that ? MOT · eng_british_Manchester_I/gail05a.cha, line 616 · Gail 2;01
  3. read that book first . INV · eng_british_Manchester_I/gail05a.cha, line 1520 · Gail 2;01
  4. choose a book and we'll read it . MOT · eng_british_Manchester_I/gail05a.cha, line 1522 · Gail 2;01
  5. are you going to choose a book then ? MOT · eng_british_Manchester_I/gail05a.cha, line 1540 · Gail 2;01
  6. just [//] we'll just read a book and then it'll be time I think . MOT · eng_british_Manchester_I/gail05a.cha, line 1566 · Gail 2;01
  7. read a book first and then you can have something . INV · eng_british_Manchester_I/gail05a.cha, line 1573 · Gail 2;01
  1. CHIxxx .
    MOToh .
    MOT*MOT: what book's that ?
    MOTthat's a new bag , isn't it ?
    MOTwhat new book's that ?
  2. MOTwhat book's that ?
    MOTthat's a new bag , isn't it ?
    MOT*MOT: what new book's that ?
    MOTwhose bag is it ?
    MOTwho is it ?
  3. CHImmhm .
    INVyou have to wait , don't you ?
    INV*INV: read that book first .
    MOTchoose a book and we'll read it .
    MOTquickly .
  4. INVyou have to wait , don't you ?
    INVread that book first .
    MOT*MOT: choose a book and we'll read it .
    MOTquickly .
    INVthen we'll be able to look at the toys .
  5. MOTxxx .
    MOTI heard a dog barking .
    MOT*MOT: are you going to choose a book then ?
    MOTquickly ?
    MOTotherwise you willn't be able to play with Caroline's toys , will you ?
  6. MOTyou have to wait for those .
    MOThave to wait .
    MOT*MOT: just [//] we'll just read a book and then it'll be time I think .
    INVyes .
    MOToh .
  7. INVyes .
    MOToh .
    INV*INV: read a book first and then you can have something .
    INVor we could just sit and wait .
    MOTwhat're you doing ?

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. Gail eng_british_Manchester_I2.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail05a.chaGail 2;1.082,473772.83

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%