PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (570 utterances, 2,402 words searched).

  1. <oh> [/?] good. MOT · downs-flusberg/kate01.cha, line 41
  2. very good kell. MOT · downs-flusberg/kate01.cha, line 96
  3. there, very good. MOT · downs-flusberg/kate01.cha, line 122
  4. <mm> [/?] taste good. MOT · downs-flusberg/kate01.cha, line 509
  5. <oh> [/?] that sounds good. MOT · downs-flusberg/kate01.cha, line 586
  6. is patty a good cook? MOT · downs-flusberg/kate01.cha, line 591
  7. very good kell. MOT · downs-flusberg/kate01.cha, line 879
  8. good work. MOT · downs-flusberg/kate01.cha, line 880
  9. good. MOT · downs-flusberg/kate01.cha, line 906
  1. CHImake train.
    MOTyou made a train?
    MOT*MOT: <oh> [/?] good.
    MOTwho's gonna drive the train?
    CHIdickie.
  2. MOTthat was right.
    MOTyou have it?
    MOT*MOT: very good kell.
    MOTyou put them together.
    CHItrain.
  3. MOTnow push from the top.
    MOTpush.
    MOT*MOT: there, very good.
    MOTyou did it.
    CHItrain.
  4. MOTthankyou.
    MOT<mm> [/?] let me taste it.
    MOT*MOT: <mm> [/?] taste good.
    MOTtastes like spaghetti.
    MOTdid you cook me spaghetti?
  5. CHI<roast> [/?] roastbeef.
    MOTroastbeef?
    MOT*MOT: <oh> [/?] that sounds good.
    MOTwho cooked it for you?
    CHIpatty.
  6. MOTpatty cooked it for you?
    MOT<oh> [/?].
    MOT*MOT: is patty a good cook?
    CHIspaghetti.
    MOT<oh> [/?] now you're having spaghetti?
  7. CHIthere, I did this all by myself.
    MOTyou did this all by yourself.
    MOT*MOT: very good kell.
    MOTgood work.
    MOTnow we'll put that one aside.
  8. MOTyou did this all by yourself.
    MOTvery good kell.
    MOT*MOT: good work.
    MOTnow we'll put that one aside.
    MOTwhich one would you like to do now?
  9. CHII found cow.
    MOTyou found the cow?
    MOT*MOT: good.
    MOT<what's grover> [/?] <what's he> [/?] what is he?
    CHIfarmer.

Matches by child

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

  1. Kate downs-flusberg3.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/kate01.chaKate 2,402993.75

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. good9 · 100.0%