PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.71 per 1,000 words of the child (CHI), in 1 of 1 transcripts (476 utterances, 1,478 words searched).

  1. see I have teeth . CHI · eng_USA_Brown/eve14.cha, line 921 · Eve 2;00
  2. oh # little teeth . CHI · eng_USA_Brown/eve14.cha, line 970 · Eve 2;00
  3. you have big teeth . CHI · eng_USA_Brown/eve14.cha, line 974 · Eve 2;00
  4. xxx white teeth . CHI · eng_USA_Brown/eve14.cha, line 986 · Eve 2;00
  1. eng_USA_Brown/eve14.cha, line 921 · Eve, 2;0.
    CHIhi # Fraser .
    COLhi # Eve .
    CHI*CHI: see I have teeth .
    COLyes # that's what you have .
    COLso have I .
  2. eng_USA_Brown/eve14.cha, line 970 · Eve, 2;0.
    CHIright here .
    COLare they little teeth # or are they big teeth ?
    CHI*CHI: oh # little teeth .
    CHIyou have big teeth .
    COLI've got big teeth # yeah .
  3. eng_USA_Brown/eve14.cha, line 974 · Eve, 2;0.
    COLare they little teeth # or are they big teeth ?
    CHIoh # little teeth .
    CHI*CHI: you have big teeth .
    COLI've got big teeth # yeah .
    COLand # are they # are they black teeth # or are they white teeth ?
  4. eng_USA_Brown/eve14.cha, line 986 · Eve, 2;0.
    COLI've got big teeth # yeah .
    COLand # are they # are they black teeth # or are they white teeth ?
    CHI*CHI: xxx white teeth .
    COLyeah .
    CHIyou have brown hair .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown2.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve14.chaEve 2;0.1,478442.71

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. teeth4 · 100.0%