PHPCLANCHILDES with regular expressions

22 matches in 22 utterances

2.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (2,003 utterances, 9,512 words searched).

  1. oh ## oh ## now # now how many horses do you have ? PAT · eng_USA_Bloom/peter15.cha, line 401 · Peter 2;06
  2. how many ears ? PAT · eng_USA_Bloom/peter15.cha, line 410 · Peter 2;06
  3. how's the water ? LYN · eng_USA_Bloom/peter15.cha, line 1870 · Peter 2;06
  4. hello Jennifer # how are you ? FAT · eng_USA_Bloom/peter15.cha, line 2100 · Peter 2;06
  5. oh the horse # I see # how many people do you have there ? FAT · eng_USA_Bloom/peter15.cha, line 2180 · Peter 2;06
  6. how many ? FAT · eng_USA_Bloom/peter15.cha, line 2186 · Peter 2;06
  7. how (a)bout frescade ? MOT · eng_USA_Bloom/peter15.cha, line 2620 · Peter 2;06
  8. d(o) you know how many I have ? PAT · eng_USA_Bloom/peter15.cha, line 3877 · Peter 2;06
  9. how many ? PAT · eng_USA_Bloom/peter15.cha, line 3881 · Peter 2;06
  10. how did you know ? PAT · eng_USA_Bloom/peter15.cha, line 3887 · Peter 2;06
  11. how (a)bout work [//] I've been working on the railroad ? PAT · eng_USA_Bloom/peter15.cha, line 4016 · Peter 2;06
  12. hi Pete # how ya doin(g) ? FAT · eng_USA_Bloom/peter15.cha, line 4525 · Peter 2;06
  13. hi sweetie how you doin(g) . FAT · eng_USA_Bloom/peter15.cha, line 4724 · Peter 2;06
  14. hi love # how ya doin(g) ? FAT · eng_USA_Bloom/peter15.cha, line 4772 · Peter 2;06
  15. see # see how wet that is ? PAT · eng_USA_Bloom/peter15.cha, line 4829 · Peter 2;06
  16. how (a)bout this chair ? LYN · eng_USA_Bloom/peter15.cha, line 5795 · Peter 2;06
  17. how old are you # Peter ? MOT · eng_USA_Bloom/peter15.cha, line 6275 · Peter 2;06
  18. <how old are you> [>] ? MOT · eng_USA_Bloom/peter15.cha, line 6279 · Peter 2;06
  19. now we can't see it # how will we know when it's finished ? PAT · eng_USA_Bloom/peter15.cha, line 6689 · Peter 2;06
  20. that's good # you know how to hold a pencil well . PAT · eng_USA_Bloom/peter15.cha, line 7066 · Peter 2;06
  21. how about a chicken sandwich . PAT · eng_USA_Bloom/peter15.cha, line 8503 · Peter 2;06
  22. how's the sandwich ? MOT · eng_USA_Bloom/peter15.cha, line 9046 · Peter 2;06
  1. CHIhere mine !
    CHIhere mine !
    PAT*PAT: oh ## oh ## now # now how many horses do you have ?
    CHItwo horses .
    CHItwo tails of the horse .
  2. CHItwo horses .
    CHItwo tails of the horse .
    PAT*PAT: how many ears ?
    CHIone # two # this is mine .
    PATuhhuh .
  3. LYNhello Jenny # are you there any big waves there ?
    LYNat the shore ?
    LYN*LYN: how's the water ?
    LYNis it warm ?
    LYNfor you .
  4. FATJennifer ?
    CHIyeah .
    FAT*FAT: hello Jennifer # how are you ?
    FATyou say <you like> [//] you want to see +...
    FAToh you want to speak pet .
  5. FATis that your horse or your cow ?
    CHIhorse .
    FAT*FAT: oh the horse # I see # how many people do you have there ?
    CHIone and two .
    FAThow many ?
  6. FAToh the horse # I see # how many people do you have there ?
    CHIone and two .
    FAT*FAT: how many ?
    CHIone # two .
    FATone # two # Petes # come here .
  7. CHIwan(t) (t)a have a pretzel .
    LYNthank you .
    MOT*MOT: how (a)bout frescade ?
    MOTwould you like a frescade ?
    MOTLynn ?
  8. PATI think they're in this bag [= bag next Pat] .
    PATle(t) me see # oh there they are .
    PAT*PAT: d(o) you know how many I have ?
    CHIyeah .
    PAThow many ?
  9. PATd(o) you know how many I have ?
    CHIyeah .
    PAT*PAT: how many ?
    CHIone # two # three .
    PATthat's right .
  10. CHIone # two # three .
    PATthat's right .
    PAT*PAT: how did you know ?
    CHII wan(t) yyy in there .
    CHIand see what's in there .
  11. CHI0 [=! laughs] .
    LYNsong .
    PAT*PAT: how (a)bout work [//] I've been working on the railroad ?
    CHIok .
    PATI wan(t) (t)a play with the slide .
  12. CHImommy and daddy .
    CHIhi mommy and daddy .
    FAT*FAT: hi Pete # how ya doin(g) ?
    CHIfine .
    FATwhat ya been doin(g) ?
  13. PATok .
    CHIhi daddy .
    FAT*FAT: hi sweetie how you doin(g) .
    CHIxxx outside .
    FAT<I was outside> [>] .
  14. CHIyyy the car ?
    CHIhi dad .
    FAT*FAT: hi love # how ya doin(g) ?
    CHIsee the peoples going .
    FATyes # I see em .
  15. LYNfeel that # wet # huh ?
    CHIwet # yeah .
    PAT*PAT: see # see how wet that is ?
    CHIyeah .
    LYNyou're lucky you're inside .
  16. LYNI think the little boy needs a place to sit .
    CHIyeah .
    LYN*LYN: how (a)bout this chair ?
    CHIwhere's the book ?
    CHI# comfortable [?] reading the book .
  17. PATI guess you're not three years old yet .
    CHIyes I'm three years old # yyy .
    MOT*MOT: how old are you # Peter ?
    PATthree years old .
    MOT<how old are you> [>] ?
  18. MOThow old are you # Peter ?
    PATthree years old .
    MOT*MOT: <how old are you> [>] ?
    CHIxxx [<] # doesn't work # doesn't work # doesn't work # doesn't work # it doesn't work .
    CHIit doesn't .
  19. CHIyes it is [!!] finished .
    PATwell it hasn't quite finished .
    PAT*PAT: now we can't see it # how will we know when it's finished ?
    PATwant me to help you ?
    CHIyep .
  20. CHIsee I'm writing .
    PATmmhm # I see you're writing .
    PAT*PAT: that's good # you know how to hold a pencil well .
    LYNno # you were holding it right .
    PATthat's right .
  21. LYNand iceberger@wp .
    CHI<it's> [/] that's hamburger .
    PAT*PAT: how about a chicken sandwich .
    CHIwha(t)'s a chicken sandwich ?
    PATis that one chicken sandwich right there ?
  22. MOTyou've got another mustache .
    CHIall gone # I gon d(rink) .
    MOT*MOT: how's the sandwich ?
    CHIfine .
    CHIyou're gonna cry on the train .

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_Bloom2.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/peter15.chaPeter 2;6.169,51222222.31

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. how22 · 100.0%