PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

2.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (648 utterances, 3,356 words searched).

  1. and the nose is a +/. MOT · downs-flusberg/penny04.cha, line 79
  2. you painted your nose. MOT · downs-flusberg/penny04.cha, line 175
  3. you have a red nose. MOT · downs-flusberg/penny04.cha, line 177
  4. <and it> [/?] is that the nose, or is that the other eye? MOT · downs-flusberg/penny04.cha, line 193
  5. there's the nose and a big mouth. MOT · downs-flusberg/penny04.cha, line 194
  6. a mouth and a nose right? MOT · downs-flusberg/penny04.cha, line 286
  7. nose. MOT · downs-flusberg/penny04.cha, line 1137
  8. because if you don't have a head, your eyes and your nose and your mouth will fall on the ground, right? MOT · downs-flusberg/penny04.cha, line 1144
  1. MOTtriangles?
    CHIyeah.
    MOT*MOT: and the nose is a +/.
    MOTalso a triangle, is n't it?
    MOT<huh> [/?]?
  2. MOTwhat are we gonna do?
    MOTyou're not gonna paint +/.
    MOT*MOT: you painted your nose.
    CHI<oh> [/?].
    MOTyou have a red nose.
  3. MOTyou painted your nose.
    CHI<oh> [/?].
    MOT*MOT: you have a red nose.
    MOTdon't paint me, ok?
    CHIsmell.
  4. CHIok.
    MOTthat's good.
    MOT*MOT: <and it> [/?] is that the nose, or is that the other eye?
    MOTthere's the nose and a big mouth.
    MOTexcellent.
  5. MOTthat's good.
    MOT<and it> [/?] is that the nose, or is that the other eye?
    MOT*MOT: there's the nose and a big mouth.
    MOTexcellent.
    MOTthat's very good.
  6. MOTmhm.
    CHIa nose and a nose.
    MOT*MOT: a mouth and a nose right?
    CHIyeah.
    CHIhair.
  7. MOTok?
    MOTeyes.
    MOT*MOT: nose.
    MOTmouth.
    MOTpenny, what are those?
  8. MOTwhat about <the> [/?] your whole head?
    MOTare you gonna draw a circle for your head?
    MOT*MOT: because if you don't have a head, your eyes and your nose and your mouth will fall on the ground, right?
    MOTand +/.
    MOTwhat's that hair?

Matches by child

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

  1. Penny downs-flusberg2.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/penny04.chaPenny 3,356882.38

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. nose8 · 100.0%