PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,422 words searched).

  1. now # what happens here ? GLO · eng_USA_Brown/sarah045.cha, line 77 · Sarah 3;01
  2. oh # gone now . MOT · eng_USA_Brown/sarah045.cha, line 196 · Sarah 3;01
  3. what's Mommy doing now ? GLO · eng_USA_Brown/sarah045.cha, line 521 · Sarah 3;01
  4. now gi(ve) me the brown one . MOT · eng_USA_Brown/sarah045.cha, line 565 · Sarah 3;01
  5. now # gi(ve) me the blue one . MOT · eng_USA_Brown/sarah045.cha, line 601 · Sarah 3;01
  6. easy # now inside the lines . MOT · eng_USA_Brown/sarah045.cha, line 677 · Sarah 3;01
  7. oh very # now . MOT · eng_USA_Brown/sarah045.cha, line 788 · Sarah 3;01
  8. now which one is the yellow one ? MOT · eng_USA_Brown/sarah045.cha, line 1082 · Sarah 3;01
  1. CHIwhat ?
    GLOyou're turning the page .
    GLO*GLO: now # what happens here ?
    GLOwho's that ?
    CHIfraidy+cat .
  2. CHIwha(t) ?
    MOTwho tha(t) ?
    MOT*MOT: oh # gone now .
    MOTI bought you somethin(g) here yyy .
    MOTwhat is it ?
  3. CHII got c(r)ayon .
    CHIcome here .
    GLO*GLO: what's Mommy doing now ?
    GLOwhat's Mummy doing ?
    CHIcolorin(g) .
  4. CHIhere .
    MOTle(t) me see .
    MOT*MOT: now gi(ve) me the brown one .
    MOTg(ive) me the blue one .
    CHIwhere ?
  5. MOTthat's orange .
    CHIo(r)ange .
    MOT*MOT: now # gi(ve) me the blue one .
    MOTwhere's the blue one ?
    MOTwhere's the blue one ?
  6. MOTstay in like this .
    MOToh .
    MOT*MOT: easy # now inside the lines .
    MOTjust go from here to there .
    MOTgo up here .
  7. CHIri(ght) here .
    GLOshow [/] show [/] show his feet to me .
    MOT*MOT: oh very # now .
    GLOdoes he wear shoes ?
    CHIno .
  8. CHIyellow .
    MOT<if this> [/] # if this is yellow how can this be yellow ?
    MOT*MOT: now which one is the yellow one ?
    MOTwhich one's the yellow one ?
    CHIthis yellow .

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_Brown5.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah045.chaSarah 3;1.171,422885.63

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. now8 · 100.0%