PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

4.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 975 words searched).

  1. the right numbers . MOT · eng_USA_Brown/sarah066.cha, line 35 · Sarah 3;06
  2. it's on right . MOT · eng_USA_Brown/sarah066.cha, line 351 · Sarah 3;06
  3. right here . MOT · eng_USA_Brown/sarah066.cha, line 540 · Sarah 3;06
  4. oh # is that right ? MOT · eng_USA_Brown/sarah066.cha, line 789 · Sarah 3;06
  1. eng_USA_Brown/sarah066.cha, line 35 · Sarah, 3;6.23
    MOTwhat ?
    MOTyou have to draw from one number to the other number # honey .
    MOT*MOT: the right numbers .
    CHIxxx .
    CHII +...
  2. eng_USA_Brown/sarah066.cha, line 351 · Sarah, 3;6.23
    CHIyour # batch in .
    CHIis it on right ?
    MOT*MOT: it's on right .
    MOTyeah .
    MOT<are only> [//] # are you only a little kid ?
  3. eng_USA_Brown/sarah066.cha, line 540 · Sarah, 3;6.23
    CHII lookin(g) for a +...
    MOTpencil ?
    MOT*MOT: right here .
    MOTwhat're ya lookin(g) for ?
    CHII lookin(g) for a pencil .
  4. eng_USA_Brown/sarah066.cha, line 789 · Sarah, 3;6.23
    CHIyou know the key over .
    CHI(h)e can stand on this .
    MOT*MOT: oh # is that right ?
    CHIyeah .
    MOTwouldn't want ya makin(g) my supper if you're going to walk across the table .

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_Brown4.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah066.chaSarah 3;6.23975444.10

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. right4 · 100.0%