PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (504 utterances, 1,851 words searched).

  1. alright now # she'll stand up here and you comb her hair . MOT · eng_USA_Brown/sarah037.cha, line 274 · Sarah 2;11
  2. yeah # you'll fall down # alright . MOT · eng_USA_Brown/sarah037.cha, line 566 · Sarah 2;11
  3. oh # alright . MOT · eng_USA_Brown/sarah037.cha, line 1090 · Sarah 2;11
  4. is it alright ? MOT · eng_USA_Brown/sarah037.cha, line 1160 · Sarah 2;11
  5. alright ? MOT · eng_USA_Brown/sarah037.cha, line 1322 · Sarah 2;11
  6. alright . MOT · eng_USA_Brown/sarah037.cha, line 1947 · Sarah 2;11
  7. alright . FAT · eng_USA_Brown/sarah037.cha, line 2255 · Sarah 2;11
  1. eng_USA_Brown/sarah037.cha, line 274 · Sarah, 2;11.17
    MOTnow she looks better .
    CHIxxx dress .
    MOT*MOT: alright now # she'll stand up here and you comb her hair .
    MOTgo ahead .
    CHII get bobby+pins .
  2. eng_USA_Brown/sarah037.cha, line 566 · Sarah, 2;11.17
    MOT(be)cause +...
    CHII fall down .
    MOT*MOT: yeah # you'll fall down # alright .
    MOTthis isn't gonna work .
    CHIyou xxx door .
  3. eng_USA_Brown/sarah037.cha, line 1090 · Sarah, 2;11.17
    MOTyou think so ?
    CHIum .
    MOT*MOT: oh # alright .
    CHImy see plane .
    CHIuhoh # who's dat ?
  4. eng_USA_Brown/sarah037.cha, line 1160 · Sarah, 2;11.17
    MOThmm [?] ?
    CHIalright ?
    MOT*MOT: is it alright ?
    MOTyeah .
    CHIyou turn .
  5. eng_USA_Brown/sarah037.cha, line 1322 · Sarah, 2;11.17
    MOTum # there .
    MOThow's that ?
    MOT*MOT: alright ?
    MOTthat better ?
    CHIsit on (th)is .
  6. eng_USA_Brown/sarah037.cha, line 1947 · Sarah, 2;11.17
    MOTwanna fight ?
    CHIno .
    MOT*MOT: alright .
    CHII tie you up .
    MOTyou gonna tie me up ?
  7. eng_USA_Brown/sarah037.cha, line 2255 · Sarah, 2;11.17
    FATyou like to do tricks ?
    CHIyeah .
    FAT*FAT: alright .
    CHII do dis xxx here .
    FATwhat're you gonna be when you grow up ?

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. Sarah eng_USA_Brown3.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah037.chaSarah 2;11.171,851773.78

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. alright7 · 100.0%