PHPCLANCHILDES with regular expressions

7 matches in 5 utterances

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

  1. what kind of teeth do you have ? MOT · eng_USA_Brown/eve14.cha, line 930 · Eve 2;00
  2. what kind of teeth ? COL · eng_USA_Brown/eve14.cha, line 947 · Eve 2;00
  3. are they little teeth # or are they big teeth ? COL · eng_USA_Brown/eve14.cha, line 965 · Eve 2;00
  4. are they little teeth # or are they big teeth ? COL · eng_USA_Brown/eve14.cha, line 965 · Eve 2;00
  5. I've got big teeth # yeah . COL · eng_USA_Brown/eve14.cha, line 978 · Eve 2;00
  6. and # are they # are they black teeth # or are they white teeth ? COL · eng_USA_Brown/eve14.cha, line 981 · Eve 2;00
  7. and # are they # are they black teeth # or are they white teeth ? COL · eng_USA_Brown/eve14.cha, line 981 · Eve 2;00
  1. eng_USA_Brown/eve14.cha, line 930 · Eve, 2;0.
    COLyes # that's what you have .
    COLso have I .
    MOT*MOT: what kind of teeth do you have ?
    CHIred .
    COLred ?
  2. eng_USA_Brown/eve14.cha, line 947 · Eve, 2;0.
    CHIno .
    COLno .
    COL*COL: what kind of teeth ?
    CHIright here .
    COLyeah .
  3. eng_USA_Brown/eve14.cha, line 965 · Eve, 2;0.
    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 .
  4. eng_USA_Brown/eve14.cha, line 978 · Eve, 2;0.
    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 .
  5. eng_USA_Brown/eve14.cha, line 981 · Eve, 2;0.
    CHIyou have big teeth .
    COLI've got big teeth # yeah .
    COL*COL: and # are they # are they black teeth # or are they white teeth ?
    CHIxxx white teeth .
    COLyeah .

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;0.2,639572.65

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. teeth7 · 100.0%