PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (602 utterances, 2,603 words searched).

  1. it's not done yet. MOT · downs-flusberg/jerry08.cha, line 56
  2. not everybody? MOT · downs-flusberg/jerry08.cha, line 180
  3. we're not getting too far here. MOT · downs-flusberg/jerry08.cha, line 746
  4. let's not throw these around. MOT · downs-flusberg/jerry08.cha, line 773
  5. they're not a really good thing to throw. MOT · downs-flusberg/jerry08.cha, line 866
  6. you cook something for snack right, not for lunch? MOT · downs-flusberg/jerry08.cha, line 1162
  1. downs-flusberg/jerry08.cha, line 56
    MOTI like that.
    CHIno.
    MOT*MOT: it's not done yet.
    CHInot <done done> [/?] done yet.
    MOT<oh> [/?] excuse me.
  2. downs-flusberg/jerry08.cha, line 180
    MOTwhat are they gonna sing?
    CHIthree can sing, but not everybody.
    MOT*MOT: not everybody?
    MOTjust three?
    CHIjust +/.
  3. downs-flusberg/jerry08.cha, line 746
    CHIletter-s, storys words by icecream.
    CHIletter-s, storys words by icecream.
    MOT*MOT: we're not getting too far here.
    MOTwe got to the icecream and we ordered a chocolate cone, a fudge cone, and raspberry and a mocha.
    MOTlarge and small.
  4. downs-flusberg/jerry08.cha, line 773
    CHIthe icecream.
    MOT<listen, listen> [/?] listen.
    MOT*MOT: let's not throw these around.
    MOTwould you like to draw some icecream?
    MOTat the bottom here.
  5. downs-flusberg/jerry08.cha, line 866
    MOTboy, do you have a lot of markers.
    CHI<mmm> [/?] I throw them.
    MOT*MOT: they're not a really good thing to throw.
    MOTbecause you know what happens?
    MOTthe tops come off honey.
  6. downs-flusberg/jerry08.cha, line 1162
    MOTwhat does brian want to make?
    CHI<no, no, no, no, no, no, no, no> [/?] no mam.
    MOT*MOT: you cook something for snack right, not for lunch?
    CHIno snack.
    MOTis n't it that you cook something for snack?

Matches by child

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

  1. Jerry downs-flusberg2.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/jerry08.chaJerry 2,603662.31

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. not6 · 100.0%