PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

3.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (725 utterances, 3,097 words searched).

  1. how are you # this morning # dear . MOT · eng_USA_Brown/eve20.cha, line 18 · Eve 2;03
  2. what are you thinking about ? GLO · eng_USA_Brown/eve20.cha, line 59 · Eve 2;03
  3. are there different kinds of Fizzie . MOT · eng_USA_Brown/eve20.cha, line 72 · Eve 2;03
  4. are you going somewhere ? GLO · eng_USA_Brown/eve20.cha, line 185 · Eve 2;03
  5. how are you # Eve ? MOT · eng_USA_Brown/eve20.cha, line 248 · Eve 2;03
  6. here are the eyes and here's the nose . MOT · eng_USA_Brown/eve20.cha, line 1024 · Eve 2;03
  7. are you riding to the hounds ? FAT · eng_USA_Brown/eve20.cha, line 2093 · Eve 2;03
  8. are you riding to the hounds ? FAT · eng_USA_Brown/eve20.cha, line 2096 · Eve 2;03
  9. are you ? MOT · eng_USA_Brown/eve20.cha, line 2772 · Eve 2;03
  10. o:h # are you sure ? MOT · eng_USA_Brown/eve20.cha, line 3010 · Eve 2;03
  11. are you coming down ? GLO · eng_USA_Brown/eve20.cha, line 3137 · Eve 2;03
  12. what are you going to eat next ? MOT · eng_USA_Brown/eve20.cha, line 4071 · Eve 2;03
  1. eng_USA_Brown/eve20.cha, line 18 · Eve, 2;3.
    CHIhi, David .
    MOThi # Eve .
    MOT*MOT: how are you # this morning # dear .
    MOThmm ?
    MOTyou alright ?
  2. eng_USA_Brown/eve20.cha, line 59 · Eve, 2;3.
    MOTthat's a lot of thinking .
    CHIyeah .
    GLO*GLO: what are you thinking about ?
    CHIthe Fizzie .
    MOTthe Fizzie ?
  3. eng_USA_Brown/eve20.cha, line 72 · Eve, 2;3.
    MOTthe Fizzie ?
    CHIyeah .
    MOT*MOT: are there different kinds of Fizzie .
    CHIxxx .
    MOTor just one Fizzie ?
  4. eng_USA_Brown/eve20.cha, line 185 · Eve, 2;3.
    FATnow let's not be so squirrely # pumpkin .
    FATdoes she know that she's taking a trip ?
    GLO*GLO: are you going somewhere ?
    CHIdat's Becky on de truck .
    CHIsee .
  5. eng_USA_Brown/eve20.cha, line 248 · Eve, 2;3.
    MOThello # Eve .
    CHIhello # David .
    MOT*MOT: how are you # Eve ?
    CHIoh [=! laughs] .
    CHIxxx .
  6. eng_USA_Brown/eve20.cha, line 1024 · Eve, 2;3.
    MOTlook at what you did .
    MOTEve # you drew a little baby # see .
    MOT*MOT: here are the eyes and here's the nose .
    MOTno # that's a tongue sticking [//] xxx his tongue out .
    CHIxxx hey # dat my xxx .
  7. eng_USA_Brown/eve20.cha, line 2093 · Eve, 2;3.
    FATwell # let's just take a little short trot .
    FATwww .
    FAT*FAT: are you riding to the hounds ?
    FATare you riding to the hounds ?
    CHIyeah .
  8. eng_USA_Brown/eve20.cha, line 2096 · Eve, 2;3.
    FATwww .
    FATare you riding to the hounds ?
    FAT*FAT: are you riding to the hounds ?
    CHIyeah .
    FATyou .
  9. eng_USA_Brown/eve20.cha, line 2772 · Eve, 2;3.
    CHI0 .
    CHII are going downtown .
    MOT*MOT: are you ?
    CHIyes .
    MOTxxx .
  10. eng_USA_Brown/eve20.cha, line 3010 · Eve, 2;3.
    MOTis it time for lunch already ?
    CHIyeah .
    MOT*MOT: o:h # are you sure ?
    CHIyeah .
    MOTwhat do you want for lunch ?
  11. eng_USA_Brown/eve20.cha, line 3137 · Eve, 2;3.
    MOTall right .
    CHIwe be coming down, Gwowia .
    GLO*GLO: are you coming down ?
    CHIwhat dat ?
    FATwhat is it ?
  12. eng_USA_Brown/eve20.cha, line 4071 · Eve, 2;3.
    CHIxxx ?
    CHIxxx .
    MOT*MOT: what are you going to eat next ?
    CHIxxx .
    CHIcut .

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. Eve eng_USA_Brown3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve20.chaEve 2;3.3,09712123.87

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. are12 · 100.0%