PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (290 utterances, 1,416 words searched).

  1. oh # y(ou) mean when you fold paper and make it into one ? MEL · eng_USA_Brown/sarah121.cha, line 503 · Sarah 4;08
  2. shall we make a ball with your snake tree on it ? MEL · eng_USA_Brown/sarah121.cha, line 514 · Sarah 4;08
  3. how you make that ? MOT · eng_USA_Brown/sarah121.cha, line 617 · Sarah 4;08
  4. wait a minute # I'm gonna make it into a square ball . MEL · eng_USA_Brown/sarah121.cha, line 623 · Sarah 4;08
  5. can't make those . MEL · eng_USA_Brown/sarah121.cha, line 637 · Sarah 4;08
  6. make em what ? MEL · eng_USA_Brown/sarah121.cha, line 1101 · Sarah 4;08
  7. make+up on the clown ? MEL · eng_USA_Brown/sarah121.cha, line 1105 · Sarah 4;08
  1. MELwhich round ball things ?
    CHIit goes like +...
    MEL*MEL: oh # y(ou) mean when you fold paper and make it into one ?
    CHIyeah .
    MELuhhuh .
  2. CHIcan you do it for me now ?
    MELok .
    MEL*MEL: shall we make a ball with your snake tree on it ?
    CHIyeah .
    MELyou gonna watch so you'll learn ?
  3. CHIuhhuh .
    MELcatch it .
    MOT*MOT: how you make that ?
    MELisn't that neat ?
    CHIyeah .
  4. MELisn't that neat ?
    CHIyeah .
    MEL*MEL: wait a minute # I'm gonna make it into a square ball .
    MELok .
    CHIcan it bounce ?
  5. MOTit's only made of paper .
    CHIcan you make those big round balls ?
    MEL*MEL: can't make those .
    CHIhow you can do them ?
    MELI don't know .
  6. CHImake+up on (a)n(d) e(ve)rything .
    CHImake em +...
    MEL*MEL: make em what ?
    CHImake+up .
    MELmake+up on the clown ?
  7. MELmake em what ?
    CHImake+up .
    MEL*MEL: make+up on the clown ?
    MELbut it was really people ?
    CHIyeah .

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_Brown4.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah121.chaSarah 4;8.131,416774.94

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. make7 · 100.0%