PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

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

  1. you're gonna make the cheese? MOT · downs-flusberg/jerry06.cha, line 247
  2. would you like some of this to make your cheese? MOT · downs-flusberg/jerry06.cha, line 249
  3. <mm> [/?] what are you gonna serve with your cheese? MOT · downs-flusberg/jerry06.cha, line 251
  4. is your cheese done? MOT · downs-flusberg/jerry06.cha, line 257
  5. your cream cheese, right? MOT · downs-flusberg/jerry06.cha, line 542
  6. that's enough cream cheese. MOT · downs-flusberg/jerry06.cha, line 561
  7. that's not cheese. MOT · downs-flusberg/jerry06.cha, line 767
  8. yeah, but you can wipe your cream cheese. MOT · downs-flusberg/jerry06.cha, line 814
  1. CHIbe the cheese.
    CHIcheese.
    MOT*MOT: you're gonna make the cheese?
    CHIyeah.
    MOTwould you like some of this to make your cheese?
  2. MOTyou're gonna make the cheese?
    CHIyeah.
    MOT*MOT: would you like some of this to make your cheese?
    MOT<mm> [/?] what are you gonna serve with your cheese?
    CHIsauce.
  3. CHIyeah.
    MOTwould you like some of this to make your cheese?
    MOT*MOT: <mm> [/?] what are you gonna serve with your cheese?
    CHIsauce.
    MOTsome sauce <oh> [/?].
  4. MOThere's another piece.
    CHIthanks.
    MOT*MOT: is your cheese done?
    CHIlook.
    MOTwhat do you have?
  5. MOTyeah, I don't think it's frozen.
    MOTwhat do you need to go on the bagel?
    MOT*MOT: your cream cheese, right?
    CHIyeah.
    MOTwhat do you need to put it on with?
  6. MOTjerrytino?
    MOT<yoohoo> [/?].
    MOT*MOT: that's enough cream cheese.
    MOTwas this left from your breakfast?
    CHIyes, it is.
  7. CHI<oh> [/?].
    CHIcheese and toast.
    MOT*MOT: that's not cheese.
    MOTwhy don't you go get that back.
    MOTalright.
  8. MOTthis is for you.
    CHIno, for you.
    MOT*MOT: yeah, but you can wipe your cream cheese.
    MOTwhy don't you have something to drink?
    MOTand we'll do something else.

Matches by child

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

  1. Jerry downs-flusberg2.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/jerry06.chaJerry 2,948882.71

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. cheese8 · 100.0%