PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (436 utterances, 2,400 words searched).

  1. hey, how many did you get? MOT · downs-flusberg/jerry04.cha, line 66
  2. wow, you got many that time. MOT · downs-flusberg/jerry04.cha, line 277
  3. <oh> [/?] so many! MOT · downs-flusberg/jerry04.cha, line 334
  4. and there <were> [/?] many eyes and noses. MOT · downs-flusberg/jerry04.cha, line 578
  5. the jackolantern had many mouths and there <were> [/?] some smiling and some frowning. MOT · downs-flusberg/jerry04.cha, line 590
  6. too many whys. MOT · downs-flusberg/jerry04.cha, line 792
  7. how many degrees? MOT · downs-flusberg/jerry04.cha, line 871
  1. MOTyou got to keep the bottle straight.
    CHI<dip, dip> [/?] dip.
    MOT*MOT: hey, how many did you get?
    MOTtwo.
    MOT<oh> [/?] that one's going to stay.
  2. MOTan igloo and it disappeared!
    CHI<abacadabra> [/?].
    MOT*MOT: wow, you got many that time.
    CHIa double dip.
    CHIhelen and tina.
  3. CHItwo <double dips, double dips> [/?] double dips.
    MOTtwo double dips.
    MOT*MOT: <oh> [/?] so many!
    MOT<ah> [/?] one staied.
    MOT<ah wow, oh oh> [/?] towel time!
  4. CHIno, you're wrong.
    CHIyou're wrong.
    MOT*MOT: and there <were> [/?] many eyes and noses.
    MOTthe eyes and noses <were> [/?] sitting in a box.
    CHIyou're wrong.
  5. CHIno.
    MOTthey had mouths there.
    MOT*MOT: the jackolantern had many mouths and there <were> [/?] some smiling and some frowning.
    CHIyeah.
    MOTyeah.
  6. MOTbecause it's fun.
    CHIwhy?
    MOT*MOT: too many whys.
    CHIwhy?
    MOTok, you need +/.
  7. CHIa silly chair.
    CHIwhat is degrees [$0a] [$0e]?
    MOT*MOT: how many degrees?
    CHIsay you have four and four.
    CHIsay you have three and four.

Matches by child

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

  1. Jerry downs-flusberg2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/jerry04.chaJerry 2,400772.92

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. many7 · 100.0%