PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 1,248 words searched).

  1. and this a big doggie . MOT · eng_USA_Brown/sarah003.cha, line 685 · Sarah 2;03
  2. and the big doggie . MOT · eng_USA_Brown/sarah003.cha, line 709 · Sarah 2;03
  3. big ears . GLO · eng_USA_Brown/sarah003.cha, line 1147 · Sarah 2;03
  4. he's got a big nose # huh . GLO · eng_USA_Brown/sarah003.cha, line 1159 · Sarah 2;03
  5. see the big horns ? GLO · eng_USA_Brown/sarah003.cha, line 1208 · Sarah 2;03
  1. MOTlittle doggie .
    CHIlittle doggie ?
    MOT*MOT: and this a big doggie .
    CHIbig doggie ?
    MOTmmhm .
  2. MOThere's the little doggie .
    CHIlittle doggie ?
    MOT*MOT: and the big doggie .
    CHIbig doggie ?
    CHIxxx doggie .
  3. GLOxxx see his ear .
    CHIoh .
    GLO*GLO: big ears .
    CHIxxx big ear ?
    CHItoo [/] too [?] .
  4. GLOwhere's his nose ?
    CHInose dere .
    GLO*GLO: he's got a big nose # huh .
    CHIbig nose .
    CHI(wha)t [?] dat .
  5. GLOthat's a deer .
    CHIdeer ?
    GLO*GLO: see the big horns ?
    CHIoh .
    GLOdeers@n are pretty .

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_Brown4.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah003.chaSarah 2;3.191,248554.01

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. big5 · 100.0%