PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (315 utterances, 1,149 words searched).

  1. there # see # watch . MOT · eng_USA_Brown/sarah028.cha, line 20 · Sarah 2;09
  2. a horsie # yeah # see the little boy ? MOT · eng_USA_Brown/sarah028.cha, line 481 · Sarah 2;09
  3. see # there's his legs . MOT · eng_USA_Brown/sarah028.cha, line 663 · Sarah 2;09
  4. see # there's his hand . MOT · eng_USA_Brown/sarah028.cha, line 671 · Sarah 2;09
  5. see # there's his piggies . MOT · eng_USA_Brown/sarah028.cha, line 694 · Sarah 2;09
  1. MOTmake a four ?
    MOTlike this # that's a four .
    MOT*MOT: there # see # watch .
    MOTdown # and this way # and that way .
    MOTfour .
  2. MOTwhat's that ?
    CHIa horsie .
    MOT*MOT: a horsie # yeah # see the little boy ?
    CHIlittle boy .
    CHImonkey .
  3. MOThis legs are right here .
    CHIoh .
    MOT*MOT: see # there's his legs .
    MOThe's got funny legs .
    MOThe's a funny clown .
  4. MOThe's a funny clown .
    CHIyes .
    MOT*MOT: see # there's his hand .
    CHIdere one hand .
    MOThuh ?
  5. CHIwhere piggies ?
    MOTpiggies are down here .
    MOT*MOT: see # there's his piggies .
    CHIwhere shoes ?
    MOThe don't wear shoes .

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_Brown4.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.061,149554.35

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. see5 · 100.0%