PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

2.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (718 utterances, 3,128 words searched).

  1. and what's this one over here? MOT · downs-flusberg/jerry05.cha, line 100
  2. <what's> [/?] <what's> [/?] <whoops> [/?] what's this one over here? MOT · downs-flusberg/jerry05.cha, line 102
  3. you're connected here. MOT · downs-flusberg/jerry05.cha, line 188
  4. here you go. MOT · downs-flusberg/jerry05.cha, line 690
  5. here he is. MOT · downs-flusberg/jerry05.cha, line 691
  6. here put him in. MOT · downs-flusberg/jerry05.cha, line 836
  7. you wanna put them on here? MOT · downs-flusberg/jerry05.cha, line 871
  8. we're making a movie about what we're doing here. MOT · downs-flusberg/jerry05.cha, line 888
  1. CHIthis is a real microphone.
    MOT<mhm> [/?] that's her's.
    MOT*MOT: and what's this one over here?
    CHIit's tom.
    MOT<what's> [/?] <what's> [/?] <whoops> [/?] what's this one over here?
  2. MOTand what's this one over here?
    CHIit's tom.
    MOT*MOT: <what's> [/?] <what's> [/?] <whoops> [/?] what's this one over here?
    CHImicrophone.
    MOTis that yours?
  3. MOTyou can do it.
    CHIalright.
    MOT*MOT: you're connected here.
    MOTyou can't walk to far.
    MOTlift this up or you're gonna have an accident.
  4. CHI<xxx a partridge in a pear tree> [/?].
    MOTa partridge in a pear tree.
    MOT*MOT: here you go.
    MOThere he is.
    CHIthat's johndenver.
  5. MOTa partridge in a pear tree.
    MOThere you go.
    MOT*MOT: here he is.
    CHIthat's johndenver.
    CHIlook two fonzies.
  6. MOTthat's it.
    MOTwe're out of people.
    MOT*MOT: here put him in.
    CHI<on the twelve day of christmas> [/?] +/.
    MOTwant him?
  7. CHI<yabumbumbum> [/?].
    CHIsorry!
    MOT*MOT: you wanna put them on here?
    MOTI don't know where they fit.
    MOTit doesn't matter.
  8. MOTwhat are we making a movie about?
    CHIright.
    MOT*MOT: we're making a movie about what we're doing here.
    CHIno, why we doing [$0ux]?
    MOTwe're talking and we're making things with these pictures.

Matches by child

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

  1. Jerry downs-flusberg2.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/jerry05.chaJerry 3,128882.56

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. here8 · 100.0%