PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (633 utterances, 2,301 words searched).

  1. what else is there in there ? MOT · eng_british_Manchester_I/anne09a.cha, line 87 · Anne 2;00
  2. there's somebody else coming now . MOT · eng_british_Manchester_I/anne09a.cha, line 594 · Anne 2;00
  3. … we put these little things back in this box and we'll find something else ? MOT · eng_british_Manchester_I/anne09a.cha, line 675 · Anne 2;00
  4. is anybody else in there ? MOT · eng_british_Manchester_I/anne09a.cha, line 755 · Anne 2;00
  5. see what else +//. MOT · eng_british_Manchester_I/anne09a.cha, line 1589 · Anne 2;00
  6. let's see what else we can find . MOT · eng_british_Manchester_I/anne09a.cha, line 1713 · Anne 2;00
  1. eng_british_Manchester_I/anne09a.cha, line 87 · Anne, 2;0.29
    MOTit's bedtime ?
    CHIit's bedtime now .
    MOT*MOT: what else is there in there ?
    MOTlots of dice ,, aren't there ?
    MOToh .
  2. eng_british_Manchester_I/anne09a.cha, line 594 · Anne, 2;0.29
    MOTwhat are you doing on my chair ?
    CHIoh .
    MOT*MOT: there's somebody else coming now .
    CHIno .
    MOTnow the snake's gone on baby's bed .
  3. eng_british_Manchester_I/anne09a.cha, line 675 · Anne, 2;0.29
    MOTyeah .
    MOTokeydokey .
    MOT*MOT: shall we put these little things back in this box and we'll find something else ?
    CHIyeah .
    MOTput them back in so they don't get lost or broken .
  4. eng_british_Manchester_I/anne09a.cha, line 755 · Anne, 2;0.29
    MOTthere he is .
    CHIyes .
    MOT*MOT: is anybody else in there ?
    CHIdoggie's in here .
    MOTdoggie's in here .
  5. eng_british_Manchester_I/anne09a.cha, line 1589 · Anne, 2;0.29
    CHIxxx .
    MOTthere we are .
    MOT*MOT: see what else +//.
    MOTwhoops .
    MOT+, we can find .
  6. eng_british_Manchester_I/anne09a.cha, line 1713 · Anne, 2;0.29
    CHIread it here .
    MOTread it in a bit .
    MOT*MOT: let's see what else we can find .
    MOTcan you see a piggy anywhere ?
    CHIyeah .

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. Anne eng_british_Manchester_I2.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne09a.chaAnne 2;0.292,301662.61

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. else6 · 100.0%