PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (274 utterances, 1,180 words searched).

  1. you wanna talk for it ? MEL · eng_USA_Brown/sarah114.cha, line 23 · Sarah 4;06
  2. what's that for ? MOT · eng_USA_Brown/sarah114.cha, line 467 · Sarah 4;06
  3. just for when Santa_Claus comes ? MEL · eng_USA_Brown/sarah114.cha, line 703 · Sarah 4;06
  4. just enough for you # maybe # huh ? MEL · eng_USA_Brown/sarah114.cha, line 752 · Sarah 4;06
  5. what would you like for supper tonight ? MOT · eng_USA_Brown/sarah114.cha, line 1092 · Sarah 4;06
  6. it's too late for puddin(g) . MOT · eng_USA_Brown/sarah114.cha, line 1105 · Sarah 4;06
  7. after supper we'll make Jello for tomorrow # huh ? MOT · eng_USA_Brown/sarah114.cha, line 1109 · Sarah 4;06
  1. CHIcan I ?
    MELyeah .
    MEL*MEL: you wanna talk for it ?
    MELnot +...
    MELyou can talk right here and it goes right in .
  2. CHIfour .
    CHIfour .
    MOT*MOT: what's that for ?
    CHIum # that's because I'm four years old !
    MOToh # I'm sorry .
  3. CHIya know when Santa_Claus come ?
    CHIwell # I have a light .
    MEL*MEL: just for when Santa_Claus comes ?
    CHIhow many times ?
    CHIyes # yes # yes .
  4. MOTwait'll we get this phone bill with all these long distance calls .
    CHIyep .
    MEL*MEL: just enough for you # maybe # huh ?
    CHIyeah .
    CHI<does it> [//] is this a carriage in there ?
  5. MOTwhy ?
    CHI(be)cause .
    MOT*MOT: what would you like for supper tonight ?
    CHIoh .
    MOTwould you like somethin(g) special ?
  6. MOTlike what ?
    CHIlike puddin(g) .
    MOT*MOT: it's too late for puddin(g) .
    MOTI tell you what .
    MOTafter supper we'll make Jello for tomorrow # huh ?
  7. MOTit's too late for puddin(g) .
    MOTI tell you what .
    MOT*MOT: after supper we'll make Jello for tomorrow # huh ?
    CHIno # I want puddin(g) always .
    MOTalways # always # always .

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_Brown5.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah114.chaSarah 4;6.171,180775.93

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.

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