PHPCLANCHILDES with regular expressions

23 matches in 20 utterances

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

  1. what should we do with it? MOT · downs-flusberg/jerry05.cha, line 60
  2. we lost the microphone. MOT · downs-flusberg/jerry05.cha, line 171
  3. <we are the> [/?] +/. MOT · downs-flusberg/jerry05.cha, line 183
  4. <oh> [/?] godbless are we keepping you awake? MOT · downs-flusberg/jerry05.cha, line 209
  5. we call her baloney right? MOT · downs-flusberg/jerry05.cha, line 519
  6. what can we make? MOT · downs-flusberg/jerry05.cha, line 602
  7. wait a minute we did <one, two> [/?] +/. MOT · downs-flusberg/jerry05.cha, line 796
  8. now we gotta do +/. MOT · downs-flusberg/jerry05.cha, line 798
  9. we're out of people. MOT · downs-flusberg/jerry05.cha, line 835
  10. we're out of people. MOT · downs-flusberg/jerry05.cha, line 842
  11. if we just got to six geese a laying what's he? MOT · downs-flusberg/jerry05.cha, line 851
  12. what are we making a movie about? MOT · downs-flusberg/jerry05.cha, line 886
  13. we're making a movie about what we're doing here. MOT · downs-flusberg/jerry05.cha, line 888
  14. we're making a movie about what we're doing here. MOT · downs-flusberg/jerry05.cha, line 888
  15. we're talking and we're making things with these pictures. MOT · downs-flusberg/jerry05.cha, line 890
  16. we're talking and we're making things with these pictures. MOT · downs-flusberg/jerry05.cha, line 890
  17. we're talking and we're making things with these pictures that helen gav… MOT · downs-flusberg/jerry05.cha, line 892
  18. we're talking and we're making things with these pictures that helen gave you. MOT · downs-flusberg/jerry05.cha, line 892
  19. first, we <were> [/?] talking about a party. MOT · downs-flusberg/jerry05.cha, line 895
  20. should we get these guys to sing something different? MOT · downs-flusberg/jerry05.cha, line 1066
  21. we made that up, right. MOT · downs-flusberg/jerry05.cha, line 1101
  22. in this room, because if we put them somewhere else see how skinny they are? MOT · downs-flusberg/jerry05.cha, line 1261
  23. we'll lose them. MOT · downs-flusberg/jerry05.cha, line 1263
  1. MOTwhy do you think she remembered that you loved it so much?
    CHI<um> [/?] love it.
    MOT*MOT: what should we do with it?
    CHII'm gonna call him freddy.
    MOTwhat?
  2. MOTalright.
    MOT<whoop> [/?].
    MOT*MOT: we lost the microphone.
    CHIcome on.
    CHIsing, sing come on.
  3. MOThelp him.
    MOTsay, I'll sing with you?
    MOT*MOT: <we are the> [/?] +/.
    CHI<oh> [/?] come on.
    MOT<oh> [/?] come on.
  4. MOT<the> [/?] what was the name of those people that plaied?
    MOTdo you remember?
    MOT*MOT: <oh> [/?] godbless are we keepping you awake?
    MOTare you tired?
    MOTdo you have a cold?
  5. MOTmaloney.
    CHImaloney.
    MOT*MOT: we call her baloney right?
    MOThow do you know her?
    MOT<where> [/?] where did you meet diane?
  6. CHIpiano?
    MOTyeah.
    MOT*MOT: what can we make?
    CHIa story.
    MOTalright.
  7. CHI<three french hen-s, two turtle doves> [/?].
    MOT<on the nine day> [/?] +/.
    MOT*MOT: wait a minute we did <one, two> [/?] +/.
    CHI<two, three> [/?].
    MOTnow we gotta do +/.
  8. MOTwait a minute we did <one, two> [/?] +/.
    CHI<two, three> [/?].
    MOT*MOT: now we gotta do +/.
    CHIfour.
    MOTfour.
  9. CHI<four calling birds, three french hens, two turtle doves> [/?].
    MOTthat's it.
    MOT*MOT: we're out of people.
    MOThere put him in.
    CHI<on the twelve day of christmas> [/?] +/.
  10. MOTwait a minute.
    CHI<twelve drummers drumming> [/?].
    MOT*MOT: we're out of people.
    MOTput him in.
    CHIalright.
  11. MOTbaloney.
    CHIxxx.
    MOT*MOT: if we just got to six geese a laying what's he?
    CHIeight.
    MOTseven.
  12. MOTwhat?
    CHI<what a> [/?] what are you movie about?
    MOT*MOT: what are we making a movie about?
    CHIright.
    MOTwe're making a movie about what we're doing here.
  13. 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.
  14. MOTwe're making a movie about what we're doing here.
    CHIno, why we doing [$0ux]?
    MOT*MOT: we're talking and we're making things with these pictures.
    CHIsay it again.
    MOTwe're talking and we're making things with these pictures that helen gave you.
  15. MOTwe're talking and we're making things with these pictures.
    CHIsay it again.
    MOT*MOT: we're talking and we're making things with these pictures that helen gave you.
    CHIwhy?
    MOTfirst, we <were> [/?] talking about a party.
  16. MOTwe're talking and we're making things with these pictures that helen gave you.
    CHIwhy?
    MOT*MOT: first, we <were> [/?] talking about a party.
    CHIall the girls coming [$0ux].
    MOTall the girls coming.
  17. CHI<three french, three french hens and a patridge in a pear tree> [/?].
    MOTyou made it!
    MOT*MOT: should we get these guys to sing something different?
    CHIdifferent?
    MOTwell, the muppets sing a lot of songs.
  18. MOT<oh> [/?] +/.
    CHI<oh, christmas tree, oh christmas tree, a branches green a ugly> [/?].
    MOT*MOT: we made that up, right.
    CHIyeah.
    MOT<yeah> [/?] yeah.
  19. CHIwhat?
    MOTthese guys you should keep in this scene.
    MOT*MOT: in this room, because if we put them somewhere else see how skinny they are?
    MOTwe'll lose them.
    MOTwant to do another story?
  20. MOTthese guys you should keep in this scene.
    MOTin this room, because if we put them somewhere else see how skinny they are?
    MOT*MOT: we'll lose them.
    MOTwant to do another story?
    CHI<oh> [/?] help me help.

Matches by child

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

  1. Jerry downs-flusberg7.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/jerry05.chaJerry 3,12820237.35

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. we23 · 100.0%