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. that's right # what did I do with it ? GLO · eng_USA_Brown/sarah027.cha, line 114 · Sarah 2;09
  2. right . MOT · eng_USA_Brown/sarah027.cha, line 300 · Sarah 2;09
  3. what am I doing right now ? GLO · eng_USA_Brown/sarah027.cha, line 503 · Sarah 2;09
  4. and what is Mummy doing right now ? GLO · eng_USA_Brown/sarah027.cha, line 507 · Sarah 2;09
  5. what are you doing right now ? GLO · eng_USA_Brown/sarah027.cha, line 593 · Sarah 2;09
  1. GLOwhat did I do with the earring ?
    CHIxxx .
    GLO*GLO: that's right # what did I do with it ?
    CHII wan(t) go +/.
    GLOwhere is it now ?
  2. CHIon the bed [?] .
    CHIon the bed .
    MOT*MOT: right .
    MOTtell me again # where was Mike ?
    CHIdere .
  3. GLOcandy bar .
    GLOwhat am I doing # Sarah ?
    GLO*GLO: what am I doing right now ?
    CHIyou sitting .
    GLOand what is Mummy doing right now ?
  4. GLOwhat am I doing right now ?
    CHIyou sitting .
    GLO*GLO: and what is Mummy doing right now ?
    CHIher yyy my day mom yyy .
    GLOwhat is she doing ?
  5. CHII sit dere .
    MOTshe knows the whole thing .
    GLO*GLO: what are you doing right now ?
    CHIsitting .
    GLOsitting # and what is Mike doing ?

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. right5 · 100.0%