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 how I feel mike. MOT · downs-flusberg/martin06.cha, line 198
  2. what if we put his feet here mike. MOT · downs-flusberg/martin06.cha, line 564
  3. mike, stop. MOT · downs-flusberg/martin06.cha, line 654
  4. mike, I'm too old for this. MOT · downs-flusberg/martin06.cha, line 687
  5. <hey> [/?] mike, you're losing your briches first. MOT · downs-flusberg/martin06.cha, line 731
  6. ok, mike. MOT · downs-flusberg/martin06.cha, line 1041
  7. mike. MOT · downs-flusberg/martin06.cha, line 1103
  8. mike. MOT · downs-flusberg/martin06.cha, line 1252
  9. mike. MOT · downs-flusberg/martin06.cha, line 1462
  1. CHIyeah.
    CHI<oh> [/?]!
    MOT*MOT: that's how I feel mike.
    CHII'm a baby.
    CHImama.
  2. MOTmaybe we should put his feet +/.
    CHIa hat.
    MOT*MOT: what if we put his feet here mike.
    CHIno, not a mouth.
    CHInot a mustache.
  3. CHIpipe.
    MOTpipe.
    MOT*MOT: mike, stop.
    MOTwhat is this?
    CHIpipe.
  4. CHIwatch.
    MOTnow what are you gonna do?
    MOT*MOT: mike, I'm too old for this.
    CHIhow about a hat too.
    MOTnow what are you gonna do?
  5. MOTwhat, are you crazy, of course.
    CHIxxx.
    MOT*MOT: <hey> [/?] mike, you're losing your briches first.
    MOTcome here.
    MOTok, go get it.
  6. MOT<gee> [/?] you're doing a nice job.
    CHIok, mom.
    MOT*MOT: ok, mike.
    CHIok, mom.
    MOTmrgoof.
  7. MOTput some in.
    MOTno, put some playdoh in.
    MOT*MOT: mike.
    CHI<hm> [/?]?
    MOTput some of this in there.
  8. MOTwhat does it say?
    CHImike.
    MOT*MOT: mike.
    CHII, you <mom> [/?] mom.
    MOTI'm mom.
  9. MOTsusan because it has a <s> [/?] on the back.
    MOT<hey> [/?] don't.
    MOT*MOT: mike.
    CHIwhat?
    MOTcome here.

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. mike9 · 100.0%