PHPCLANCHILDES with regular expressions

23 matches in 23 utterances

4.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (1,051 utterances, 5,429 words searched).

  1. awoh # what are you doing ? PAT · eng_USA_Bloom/peter05.cha, line 134 · Peter 1;11
  2. where are the people who ride the car ? PAT · eng_USA_Bloom/peter05.cha, line 218 · Peter 1;11
  3. you are funny [!!] . PAT · eng_USA_Bloom/peter05.cha, line 574 · Peter 1;11
  4. why are you eating that wheel ? PAT · eng_USA_Bloom/peter05.cha, line 924 · Peter 1;11
  5. oh you silly boy # why are you eating all those funny things xxx see the christmas tree lights . PAT · eng_USA_Bloom/peter05.cha, line 933 · Peter 1;11
  6. why are you eating that wheel ? PAT · eng_USA_Bloom/peter05.cha, line 970 · Peter 1;11
  7. why are you eating that screw ? LOI · eng_USA_Bloom/peter05.cha, line 972 · Peter 1;11
  8. are you wearing your slippers ? PAT · eng_USA_Bloom/peter05.cha, line 1124 · Peter 1;11
  9. are you wearing your slippers ? PAT · eng_USA_Bloom/peter05.cha, line 1129 · Peter 1;11
  10. where are your shoes ? PAT · eng_USA_Bloom/peter05.cha, line 1132 · Peter 1;11
  11. where are your shoes ? PAT · eng_USA_Bloom/peter05.cha, line 1134 · Peter 1;11
  12. mm ## where are your shoes Peter ? PAT · eng_USA_Bloom/peter05.cha, line 1136 · Peter 1;11
  13. are you trying to confuse me ? LOI · eng_USA_Bloom/peter05.cha, line 1444 · Peter 1;11
  14. are you showing it to Jennifer ? PAT · eng_USA_Bloom/peter05.cha, line 2214 · Peter 1;11
  15. you are getting very active Jen +... PAT · eng_USA_Bloom/peter05.cha, line 2276 · Peter 1;11
  16. very good # you are very inventive ## ok . PAT · eng_USA_Bloom/peter05.cha, line 2467 · Peter 1;11
  17. now the <pictures are right side up> [>] # you can see them . PAT · eng_USA_Bloom/peter05.cha, line 2699 · Peter 1;11
  18. what are you looking for ? LOI · eng_USA_Bloom/peter05.cha, line 2796 · Peter 1;11
  19. are you gonna fix it ? PAT · eng_USA_Bloom/peter05.cha, line 3147 · Peter 1;11
  20. are you gonna fix it Peter ? PAT · eng_USA_Bloom/peter05.cha, line 3149 · Peter 1;11
  21. what are doing Peter ? LOI · eng_USA_Bloom/peter05.cha, line 3617 · Peter 1;11
  22. do it # yeah # where are they ? PAT · eng_USA_Bloom/peter05.cha, line 4057 · Peter 1;11
  23. how many wheels are there ? LOI · eng_USA_Bloom/peter05.cha, line 4289 · Peter 1;11
  1. PAT<open the bag> [<] ?
    PATcan you open the bag ?
    PAT*PAT: awoh # what are you doing ?
    PATwhat're you doing ?
    PATyuck !
  2. PATwhy don't you let the people ride the car ?
    CHIhmm .
    PAT*PAT: where are the people who ride the car ?
    CHIhmm # hmm # hmm .
    CHIpeople car # xxx awoh .
  3. CHIdo it .
    CHIxxx .
    PAT*PAT: you are funny [!!] .
    CHIsit .
    PATall right .
  4. LOIwhere is she ?
    PATwhat're you eating ?
    PAT*PAT: why are you eating that wheel ?
    PATthat's very strange behavior .
    LOIwhat's he doing ?
  5. LOIwhat's he doing ?
    PAThe's eating a wheel # that's very strange .
    PAT*PAT: oh you silly boy # why are you eating all those funny things xxx see the christmas tree lights .
    CHIhmm .
    PATpretty lights .
  6. PATwhich one Peter ?
    PATthat one .
    PAT*PAT: why are you eating that wheel ?
    LOIwhy are you eating that screw ?
    CHIhmm .
  7. PATthat one .
    PATwhy are you eating that wheel ?
    LOI*LOI: why are you eating that screw ?
    CHIhmm .
    PATdoesn't it hurt your teeth ?
  8. LOIthat's a steering wheel # that's a steering wheel .
    CHIxxx yyy # yyy # yyy .
    PAT*PAT: are you wearing your slippers ?
    CHIhmm .
    PATare you wearing your slippers ?
  9. PATare you wearing your slippers ?
    CHIhmm .
    PAT*PAT: are you wearing your slippers ?
    PATwhere are your shoes ?
    PATwhere are your shoes ?
  10. CHIhmm .
    PATare you wearing your slippers ?
    PAT*PAT: where are your shoes ?
    PATwhere are your shoes ?
    PATmm ## where are your shoes Peter ?
  11. PATare you wearing your slippers ?
    PATwhere are your shoes ?
    PAT*PAT: where are your shoes ?
    PATmm ## where are your shoes Peter ?
    LOIwhat're you doing ?
  12. PATwhere are your shoes ?
    PATwhere are your shoes ?
    PAT*PAT: mm ## where are your shoes Peter ?
    LOIwhat're you doing ?
    CHIopen .
  13. CHIyyy # yyy .
    LOIhe's doing it on purpose .
    LOI*LOI: are you trying to confuse me ?
    CHIwheel # wheel walk # wheel walk .
    PATwheel walk ?
  14. CHI(a)gain .
    LOIshow it again .
    PAT*PAT: are you showing it to Jennifer ?
    CHIxxx # wheel wheel ## beep@o # beep@o # beep@o .
    LOIbeep@o beep@o .
  15. PATJennifer's lonesome now # oh my goodness !
    PATshe is crawling # look at her !
    PAT*PAT: you are getting very active Jen +...
    PATwhere're you going Peter ?
    CHIcorner .
  16. PAToh you're putting em in the box # oh .
    LOIvery good .
    PAT*PAT: very good # you are very inventive ## ok .
    CHIwheel .
    PATwheel .
  17. PATwatch # this is turning it over .
    PATwatch this xxx turn it over # see that ?
    PAT*PAT: now the <pictures are right side up> [>] # you can see them .
    CHI<hmm # hmm> [<] yyy # yyy .
    PAThe's still doing the same thing .
  18. PATplay at the other end .
    CHIyyy # yyy # yyy [= car ?] .
    LOI*LOI: what are you looking for ?
    CHIyyy .
    LOIyyy ?
  19. PATwho's gonna fix it ?
    CHIfix it .
    PAT*PAT: are you gonna fix it ?
    PATare you gonna fix it Peter ?
    CHIbig it !
  20. CHIfix it .
    PATare you gonna fix it ?
    PAT*PAT: are you gonna fix it Peter ?
    CHIbig it !
    CHIbig .
  21. PATis that her bib ?
    CHIzoom@o # zoom@o # zoom@o # zoom@o # xxx # xxx .
    LOI*LOI: what are doing Peter ?
    CHItake off this .
    PATtaking the wheels off .
  22. PATthere ?
    LOIdo it .
    PAT*PAT: do it # yeah # where are they ?
    CHIcorner .
    PATin the corner ?
  23. LOIthey're all on the table [= wheels] .
    CHIhmm .
    LOI*LOI: how many wheels are there ?
    CHIbig # tall # tower .
    LOIbig tall tower .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

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

  1. Peter eng_USA_Bloom4.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/peter05.chaPeter 1;11.175,42923234.24

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. are23 · 100.0%