PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

2.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (798 utterances, 3,416 words searched).

  1. that's not right. MOT · downs-flusberg/martin06.cha, line 461
  2. I know it's not an ear. MOT · downs-flusberg/martin06.cha, line 519
  3. <oh> [/?] you're not a goof, you're michaeljames. MOT · downs-flusberg/martin06.cha, line 529
  4. you're not cooking? MOT · downs-flusberg/martin06.cha, line 787
  5. that's not how you roll it. MOT · downs-flusberg/martin06.cha, line 854
  6. I'm not sure. MOT · downs-flusberg/martin06.cha, line 875
  7. not doing too well. MOT · downs-flusberg/martin06.cha, line 1152
  8. how about not. MOT · downs-flusberg/martin06.cha, line 1163
  9. <oops> [/?] it's not in there, right. MOT · downs-flusberg/martin06.cha, line 1594
  1. CHIno, here tongue.
    CHII know do the tongue.
    MOT*MOT: that's not right.
    MOT<where> [/?] what should you put up there?
    CHII suppose to put <eye> [/?] the eye.
  2. CHI<that not> [/?] that not a ear.
    CHIthat not a ear.
    MOT*MOT: I know it's not an ear.
    CHIa pipe.
    CHIwatch this.
  3. MOTyou're a goof.
    CHIno, my not a goof michaeljames.
    MOT*MOT: <oh> [/?] you're not a goof, you're michaeljames.
    CHIyep.
    MOTyou're michaeljames the goof!
  4. MOTnow you're cooking.
    CHInot cooking mom.
    MOT*MOT: you're not cooking?
    MOThafta be careful what I say.
    MOTwhat is it?
  5. CHI<whoops> [/?].
    MOTroll it.
    MOT*MOT: that's not how you roll it.
    MOTyou make a cookie out of it.
    CHIyep.
  6. MOTtape?
    CHIno, watch.
    MOT*MOT: I'm not sure.
    MOTcan you do that?
    CHIyeah, xxx.
  7. MOTok, and now, let go a minute.
    MOTdown some more.
    MOT*MOT: not doing too well.
    CHIput hat.
    CHIdo hat.
  8. CHIhow about hat.
    CHIhow about hat.
    MOT*MOT: how about not.
    CHIhow about not?
    CHIxxx.
  9. MOTcome on.
    CHIwhat is it?
    MOT*MOT: <oops> [/?] it's not in there, right.
    CHIno?
    CHIthere.

Matches by child

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

  1. Martin downs-flusberg2.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/martin06.chaMartin 3,416992.63

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. not9 · 100.0%