PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (274 utterances, 1,180 words searched).

  1. from a mouse to an elephant ? MOT · eng_USA_Brown/sarah114.cha, line 148 · Sarah 4;06
  2. from here ? MEL · eng_USA_Brown/sarah114.cha, line 580 · Sarah 4;06
  3. from here . MEL · eng_USA_Brown/sarah114.cha, line 584 · Sarah 4;06
  4. that was my girl+friend from Randolph . MOT · eng_USA_Brown/sarah114.cha, line 742 · Sarah 4;06
  1. eng_USA_Brown/sarah114.cha, line 148 · Sarah, 4;6.17
    CHIno # I can make a elephant .
    CHIbigger .
    MOT*MOT: from a mouse to an elephant ?
    CHII can thread .
    MELthread ?
  2. eng_USA_Brown/sarah114.cha, line 580 · Sarah, 4;6.17
    MELwhere does the water come out ?
    CHIfrom # guess .
    MEL*MEL: from here ?
    CHIno .
    MELfrom here .
  3. eng_USA_Brown/sarah114.cha, line 584 · Sarah, 4;6.17
    MELfrom here ?
    CHIno .
    MEL*MEL: from here .
    CHIyeah .
    MELoh .
  4. eng_USA_Brown/sarah114.cha, line 742 · Sarah, 4;6.17
    MOToh gee .
    MELthat doesn't hold very many toys .
    MOT*MOT: that was my girl+friend from Randolph .
    MOTwe went out with them Saturday night .
    MOTwait'll we get this phone bill with all these long distance calls .

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_Brown3.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah114.chaSarah 4;6.171,180443.39

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. from4 · 100.0%