PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (809 utterances, 2,765 words searched).

  1. who-'isaux gonna eat the cupcake? MOT · autistic-flusberg/mark10.cha, line 106
  2. you think bigbird-'isaux gonna eat the cupcake? MOT · autistic-flusberg/mark10.cha, line 111
  3. you gonna draw some more? MOT · autistic-flusberg/mark10.cha, line 787
  4. that-'isaux gonna be your big word today. MOT · autistic-flusberg/mark10.cha, line 1115
  5. what are you gonna make now? MOT · autistic-flusberg/mark10.cha, line 1147
  6. we're gonna put this aside for a little bit. MOT · autistic-flusberg/mark10.cha, line 1343
  7. <are> [/?] you gonna talk some more to me? MOT · autistic-flusberg/mark10.cha, line 1448
  1. autistic-flusberg/mark10.cha, line 106
    CHIin the sky.
    MOTyeah.
    MOT*MOT: who-'isaux gonna eat the cupcake?
    MOTwho?
    CHIbigbird.
  2. autistic-flusberg/mark10.cha, line 111
    MOTwho?
    CHIbigbird.
    MOT*MOT: you think bigbird-'isaux gonna eat the cupcake?
    MOTI think you're right.
    MOTI think +/.
  3. autistic-flusberg/mark10.cha, line 787
    CHIno number.
    MOTno number-s, no.
    MOT*MOT: you gonna draw some more?
    MOT<oh> [/?] your numbers are getting alot better.
    MOTnow they're +/.
  4. autistic-flusberg/mark10.cha, line 1115
    CHIgone.
    MOTgone right.
    MOT*MOT: that-'isaux gonna be your big word today.
    MOTwhat is that?
    CHIvacuum.
  5. autistic-flusberg/mark10.cha, line 1147
    MOTyes.
    MOT<uhuhuh> [/?] you got to put the other sheet.
    MOT*MOT: what are you gonna make now?
    MOTwhat can we make here?
    MOTwhat's that?
  6. autistic-flusberg/mark10.cha, line 1343
    MOTalright.
    MOTyou know what?
    MOT*MOT: we're gonna put this aside for a little bit.
    CHI<no> [/?] no.
    MOTno?
  7. autistic-flusberg/mark10.cha, line 1448
    MOT<hm> [/?]?
    CHIxxx.
    MOT*MOT: <are> [/?] you gonna talk some more to me?
    MOTwhat's this word?
    MOTwhat's this picture?

Matches by child

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

  1. Mark autistic-flusberg2.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
autistic-flusberg/mark10.chaMark 2,765772.53

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. gonna7 · 100.0%