PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (307 utterances, 1,365 words searched).

  1. what's this ? MEL · eng_USA_Brown/sarah110.cha, line 322 · Sarah 4;05
  2. what's the difference between a dress (a)n(d) a skirt ? MEL · eng_USA_Brown/sarah110.cha, line 328 · Sarah 4;05
  3. y(ou) know what's gonna happen after I give you your lunch ? MOT · eng_USA_Brown/sarah110.cha, line 575 · Sarah 4;05
  4. what's wearing out ? GAI · eng_USA_Brown/sarah110.cha, line 680 · Sarah 4;05
  5. what's this ? MEL · eng_USA_Brown/sarah110.cha, line 884 · Sarah 4;05
  1. MELno # I don't mean that .
    MELI mean this .
    MEL*MEL: what's this ?
    CHIthat's a dress .
    MELoh .
  2. CHIthat's a dress .
    MELoh .
    MEL*MEL: what's the difference between a dress (a)n(d) a skirt ?
    MELare they the same thing ?
    CHImmhm # no .
  3. CHInah .
    MOTy(ou) know it's nice out today ?
    MOT*MOT: y(ou) know what's gonna happen after I give you your lunch ?
    CHIwhat ?
    MOTI've got plans for you .
  4. MOTxxx .
    CHIit's wearin(g) out .
    GAI*GAI: what's wearing out ?
    CHIit's wearin(g) out .
    CHIsee ?
  5. MELthank+you .
    MELwhy don't you close this +...
    MEL*MEL: what's this ?
    CHIshe ripped it # what you think ?
    CHIwhat you think ?

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_Brown3.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah110.chaSarah 4;5.221,365553.66

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. what's5 · 100.0%