PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

5.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (408 utterances, 1,517 words searched).

  1. <oh> [/?] where's the cake? MOT · downs-flusberg/billy11.cha, line 136
  2. yep, here's some cake. MOT · downs-flusberg/billy11.cha, line 157
  3. what kind of cake is it? MOT · downs-flusberg/billy11.cha, line 165
  4. is it choclate cake? MOT · downs-flusberg/billy11.cha, line 170
  5. want me to cut the cake? MOT · downs-flusberg/billy11.cha, line 181
  6. here's the cake. MOT · downs-flusberg/billy11.cha, line 192
  7. did you have a big cake, or a little cake? MOT · downs-flusberg/billy11.cha, line 200
  8. did you have a big cake, or a little cake? MOT · downs-flusberg/billy11.cha, line 200
  9. big cake, of course, you always ask for big, <huh> [/?]? MOT · downs-flusberg/billy11.cha, line 202
  1. MOTat work.
    CHIdaddy I got a cake.
    MOT*MOT: <oh> [/?] where's the cake?
    MOTto you?
    CHIyeah.
  2. MOT<wow> [/?]!
    CHIxxx big piece of cake?
    MOT*MOT: yep, here's some cake.
    MOTlet me cut it.
    MOTcut, cut.
  3. MOTgive it to grover.
    CHIno.
    MOT*MOT: what kind of cake is it?
    CHIpig.
    MOTa pig?
  4. MOTa pig?
    CHIyeah.
    MOT*MOT: is it choclate cake?
    CHI<oh> [/?] yeah.
    MOT<ummm> [/?].
  5. MOTthank you.
    CHIgotta <cut it> [/?] cut it with a knife.
    MOT*MOT: want me to cut the cake?
    CHIyeah.
    MOTcut, cut.
  6. MOT<oh> [/?] a spoon?
    MOThere's a spoon.
    MOT*MOT: here's the cake.
    MOTis it good?
    CHIyeah, it good.
  7. MOTdid you have a big or little?
    CHIbig and little.
    MOT*MOT: did you have a big cake, or a little cake?
    CHIbig cake.
    MOTbig cake, of course, you always ask for big, <huh> [/?]?
  8. MOTdid you have a big cake, or a little cake?
    CHIbig cake.
    MOT*MOT: big cake, of course, you always ask for big, <huh> [/?]?
    CHI<mmm> [/?].
    MOT<mmm> [/?].

Matches by child

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

  1. Billy downs-flusberg5.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/billy11.chaBilly 1,517895.93

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. cake9 · 100.0%