PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 1,245 words searched).

  1. oh # he's too big ? MOT · eng_USA_Brown/sarah027.cha, line 486 · Sarah 2;09
  2. <tell her> [//] oh # we got your new shoes yesterday but they were too small . MOT · eng_USA_Brown/sarah027.cha, line 530 · Sarah 2;09
  3. oh # what's that ? GLO · eng_USA_Brown/sarah027.cha, line 816 · Sarah 2;09
  4. oh # is that your little hat box ? GLO · eng_USA_Brown/sarah027.cha, line 971 · Sarah 2;09
  5. oh # what are you doing # Sarah ? GLO · eng_USA_Brown/sarah027.cha, line 1047 · Sarah 2;09
  1. GLOno ?
    CHItoo big .
    MOT*MOT: oh # he's too big ?
    CHIhe too big xxx .
    MOTwww .
  2. GLOheel +/.
    CHIxxx .
    MOT*MOT: <tell her> [//] oh # we got your new shoes yesterday but they were too small .
    CHItoo small .
    MOTyeah # they're new ones .
  3. GLOwhat's Courtney doing ?
    CHIxxx .
    GLO*GLO: oh # what's that ?
    CHIxxx .
    GLOand what are you doing ?
  4. CHII get my .
    MOTit's over there .
    GLO*GLO: oh # is that your little hat box ?
    GLOand what is that you've got ?
    CHImy pow(der)+puff .
  5. MOTyou do too # c(o)me (h)ere .
    CHI0 .
    GLO*GLO: oh # what are you doing # Sarah ?
    CHII writing .
    GLOwhat are you writing ?

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_Brown4.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah027.chaSarah 2;9.1,245554.02

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. oh5 · 100.0%