PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (612 utterances, 2,639 words searched).

  1. are they little teeth # or are they big teeth ? COL · eng_USA_Brown/eve14.cha, line 965 · Eve 2;00
  2. I've got big teeth # yeah . COL · eng_USA_Brown/eve14.cha, line 978 · Eve 2;00
  3. oh the big round cook . MOT · eng_USA_Brown/eve14.cha, line 1661 · Eve 2;00
  4. no # that's not the big round cook . MOT · eng_USA_Brown/eve14.cha, line 1664 · Eve 2;00
  5. we'll make a big house . RIC · eng_USA_Brown/eve14.cha, line 2907 · Eve 2;00
  6. we'll make a big house . RIC · eng_USA_Brown/eve14.cha, line 2913 · Eve 2;00
  7. a very big house . RIC · eng_USA_Brown/eve14.cha, line 2916 · Eve 2;00
  1. COLthey're right there in your gums .
    CHIright here .
    COL*COL: are they little teeth # or are they big teeth ?
    CHIoh # little teeth .
    CHIyou have big teeth .
  2. CHIoh # little teeth .
    CHIyou have big teeth .
    COL*COL: I've got big teeth # yeah .
    COLand # are they # are they black teeth # or are they white teeth ?
    CHIxxx white teeth .
  3. MOTyou be real good # is that what you say ?
    CHIbig round cook .
    MOT*MOT: oh the big round cook .
    MOTno # that's not the big round cook .
    CHIwhere big round cook ?
  4. CHIbig round cook .
    MOToh the big round cook .
    MOT*MOT: no # that's not the big round cook .
    CHIwhere big round cook ?
    MOTit's in the basement .
  5. RICby the green one ?
    RICall right .
    RIC*RIC: we'll make a big house .
    CHIhmm ?
    RICwe'll make a big house .
  6. RICwe'll make a big house .
    CHIhmm ?
    RIC*RIC: we'll make a big house .
    RICa very big house .
    CHIyou make that right there .
  7. CHIhmm ?
    RICwe'll make a big house .
    RIC*RIC: a very big house .
    CHIyou make that right there .
    RICwhat does it need ?

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_Brown2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve14.chaEve 2;0.2,639772.65

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. big7 · 100.0%