PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

2.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (704 utterances, 3,191 words searched).

  1. what happened? MOT · downs-flusberg/martin09.cha, line 341
  2. I wonder what happened. MOT · downs-flusberg/martin09.cha, line 356
  3. do you know what happened? MOT · downs-flusberg/martin09.cha, line 357
  4. what happened? MOT · downs-flusberg/martin09.cha, line 379
  5. <oh> [/?] what happened? MOT · downs-flusberg/martin09.cha, line 1297
  6. you pushed it in on one side and what happened on the other +/. MOT · downs-flusberg/martin09.cha, line 1299
  7. look what happened to the cow. MOT · downs-flusberg/martin09.cha, line 1510
  8. what happened to your cow? MOT · downs-flusberg/martin09.cha, line 1512
  1. MOTpress a picture.
    CHImom, xxx.
    MOT*MOT: what happened?
    CHIno, here mom.
    MOTI know, I'm pressing it.
  2. MOT<oh> [/?] well +/.
    CHIhappen?
    MOT*MOT: I wonder what happened.
    MOTdo you know what happened?
    CHIwhat?
  3. CHIhappen?
    MOTI wonder what happened.
    MOT*MOT: do you know what happened?
    CHIwhat?
    MOTI don't know.
  4. MOTwell, I don't know what could be wrong.
    CHIwhat happen?
    MOT*MOT: what happened?
    MOTI don't know.
    MOTlet's see <what> [/?] if we can figure it out.
  5. CHI<oh> [/?] mommy, look!
    MOTwhat?
    MOT*MOT: <oh> [/?] what happened?
    CHIxxx.
    MOTyou pushed it in on one side and what happened on the other +/.
  6. MOT<oh> [/?] what happened?
    CHIxxx.
    MOT*MOT: you pushed it in on one side and what happened on the other +/.
    CHIide [?] xxx.
    MOTyeah, it came out.
  7. MOT<mhm> [/?].
    CHIma!
    MOT*MOT: look what happened to the cow.
    CHIwhat cow?
    MOTwhat happened to your cow?
  8. MOTlook what happened to the cow.
    CHIwhat cow?
    MOT*MOT: what happened to your cow?
    CHIfall down.
    MOTyeah, I think you have to fix his leg.

Matches by child

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

  1. Martin downs-flusberg2.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/martin09.chaMartin 3,191882.51

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. happened8 · 100.0%