PHPCLANCHILDES with regular expressions

15 matches in 14 utterances

3.26 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (1,008 utterances, 4,598 words searched).

  1. cheese, an egg, and a hotdog <oh> [/?]. MOT · downs-flusberg/jerry01.cha, line 298
  2. and cheese. MOT · downs-flusberg/jerry01.cha, line 334
  3. I think I'll just take a cracker and cheese. MOT · downs-flusberg/jerry01.cha, line 342
  4. but a cracker and cheese is a fine idea. MOT · downs-flusberg/jerry01.cha, line 345
  5. cheese and hotdog, eggs. MOT · downs-flusberg/jerry01.cha, line 392
  6. you had cheese today? MOT · downs-flusberg/jerry01.cha, line 404
  7. cheese. MOT · downs-flusberg/jerry01.cha, line 525
  8. you make cheese from milk. MOT · downs-flusberg/jerry01.cha, line 529
  9. what does that have to do with a piece of cheese? MOT · downs-flusberg/jerry01.cha, line 561
  10. I was trying to figure out if you knew where cheese came from. MOT · downs-flusberg/jerry01.cha, line 562
  11. you get cheese from milk and milk comes from the cow. MOT · downs-flusberg/jerry01.cha, line 592
  12. cheese? MOT · downs-flusberg/jerry01.cha, line 706
  13. alright, cheese who? MOT · downs-flusberg/jerry01.cha, line 709
  14. cheese <cheese> [/?] go fly a kite? MOT · downs-flusberg/jerry01.cha, line 711
  15. cheese <cheese> [/?] go fly a kite? MOT · downs-flusberg/jerry01.cha, line 711
  1. downs-flusberg/jerry01.cha, line 298
    MOTwhat are you having?
    CHI<ah> [/?] I want cheese and egg and a hotdog.
    MOT*MOT: cheese, an egg, and a hotdog <oh> [/?].
    MOTcheers.
    CHIcheers.
  2. downs-flusberg/jerry01.cha, line 334
    MOTcould I taste the cracker?
    CHIhow's this?
    MOT*MOT: and cheese.
    MOT<oh> [/?] thankyou.
    MOTand a hotdog?
  3. downs-flusberg/jerry01.cha, line 342
    MOTI think +/.
    CHIhere.
    MOT*MOT: I think I'll just take a cracker and cheese.
    CHIalright.
    MOTyou can have the hotdog and egg.
  4. downs-flusberg/jerry01.cha, line 345
    CHIalright.
    MOTyou can have the hotdog and egg.
    MOT*MOT: but a cracker and cheese is a fine idea.
    CHIcracker and cheese.
    MOTyeah.
  5. downs-flusberg/jerry01.cha, line 392
    MOTlike people.
    MOTlike, look at this.
    MOT*MOT: cheese and hotdog, eggs.
    MOTthose are all different sizes.
    CHIno.
  6. downs-flusberg/jerry01.cha, line 404
    MOTwhat was it?
    CHIcheese.
    MOT*MOT: you had cheese today?
    CHIhotdog and a egg.
    MOTin your cup?
  7. downs-flusberg/jerry01.cha, line 525
    CHI<um> [/?].
    MOTcan you remember?
    MOT*MOT: cheese.
    MOTdo you know what you make it out of?
    CHIxxx.
  8. downs-flusberg/jerry01.cha, line 529
    CHIxxx.
    MOTno.
    MOT*MOT: you make cheese from milk.
    CHIno, not cheese from milk.
    CHII'll give you a hint.
  9. downs-flusberg/jerry01.cha, line 561
    MOTtinkerbell.
    CHIyes!
    MOT*MOT: what does that have to do with a piece of cheese?
    MOTI was trying to figure out if you knew where cheese came from.
    CHI<oh> [/?], where cheese came from.
  10. downs-flusberg/jerry01.cha, line 562
    CHIyes!
    MOTwhat does that have to do with a piece of cheese?
    MOT*MOT: I was trying to figure out if you knew where cheese came from.
    CHI<oh> [/?], where cheese came from.
    MOTand you make it out of milk.
  11. downs-flusberg/jerry01.cha, line 592
    MOTare you silly today?
    CHIyeah.
    MOT*MOT: you get cheese from milk and milk comes from the cow.
    CHIno!
    MOTyeah.
  12. downs-flusberg/jerry01.cha, line 706
    MOTwho's there?
    CHIcheese.
    MOT*MOT: cheese?
    MOTare you making this up?
    CHIyeah.
  13. downs-flusberg/jerry01.cha, line 709
    MOTare you making this up?
    CHIyeah.
    MOT*MOT: alright, cheese who?
    CHIcheese <cheese> [/?] go fly a kite.
    MOTcheese <cheese> [/?] go fly a kite?
  14. downs-flusberg/jerry01.cha, line 711
    MOTalright, cheese who?
    CHIcheese <cheese> [/?] go fly a kite.
    MOT*MOT: cheese <cheese> [/?] go fly a kite?
    CHIcheese <cheese> [/?] go fly a kite.
    MOTthey don't know all our +/.

Matches by child

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

  1. Jerry downs-flusberg3.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/jerry01.chaJerry 4,59814153.26

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. cheese15 · 100.0%