PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (593 utterances, 2,948 words searched).

  1. what else do you want out of here? MOT · downs-flusberg/jerry06.cha, line 58
  2. what else can we give a snowman? MOT · downs-flusberg/jerry06.cha, line 318
  3. and who else? MOT · downs-flusberg/jerry06.cha, line 574
  4. and we'll do something else. MOT · downs-flusberg/jerry06.cha, line 816
  5. do you wanna put the bagel away and do something else? MOT · downs-flusberg/jerry06.cha, line 834
  6. and we'll do something else. MOT · downs-flusberg/jerry06.cha, line 843
  7. what else could we make with this stuff? MOT · downs-flusberg/jerry06.cha, line 847
  1. MOTlook at the different color it is.
    MOTok, here's your rolling pin.
    MOT*MOT: what else do you want out of here?
    CHIthis is hard.
    MOTyeah, we're gonna have to break it.
  2. MOTwould you like a hat for him?
    CHIok, hat for him.
    MOT*MOT: what else can we give a snowman?
    CHIsome eyeballs.
    MOTok.
  3. MOTdo you remember when we used to have those breakfasts?
    MOTsiska was there.
    MOT*MOT: and who else?
    MOTwho used to bring the bagel?
    CHII don't know.
  4. MOTyeah, but you can wipe your cream cheese.
    MOTwhy don't you have something to drink?
    MOT*MOT: and we'll do something else.
    MOTand you can have the rest of your snack later.
    MOTwhat do you think of that?
  5. MOTI think one bite.
    MOTand put it down, ok.
    MOT*MOT: do you wanna put the bagel away and do something else?
    MOTwhy don't you put that in this towel.
    MOTok, it's too tough to chew jerry.
  6. MOTcan you put that in the towel?
    MOTwhy don't you put that away?
    MOT*MOT: and we'll do something else.
    MOThere you go guy.
    MOTwhat else could we make with this stuff?
  7. MOTand we'll do something else.
    MOThere you go guy.
    MOT*MOT: what else could we make with this stuff?
    MOTdoes it look like it?
    MOTsmall bites.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jerry downs-flusberg2.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/jerry06.chaJerry 2,948772.37

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. else7 · 100.0%