PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

8.98 per 1,000 words of the child (CHI), in 1 of 1 transcripts (203 utterances, 668 words searched).

  1. now ? CHI · eng_USA_Brown/sarah130.cha, line 78 · Sarah 4;11
  2. now he lives across the street too . CHI · eng_USA_Brown/sarah130.cha, line 376 · Sarah 4;11
  3. now how I'm gonna make . CHI · eng_USA_Brown/sarah130.cha, line 589 · Sarah 4;11
  4. now I know what to make . CHI · eng_USA_Brown/sarah130.cha, line 668 · Sarah 4;11
  5. now it's gonna turn into somethin(g) else . CHI · eng_USA_Brown/sarah130.cha, line 684 · Sarah 4;11
  6. now I have to get it upside+down . CHI · eng_USA_Brown/sarah130.cha, line 935 · Sarah 4;11
  1. eng_USA_Brown/sarah130.cha, line 78 · Sarah, 4;11.04
    CHIno .
    GAIit says that Melissa got married .
    CHI*CHI: now ?
    GAIlast week .
    CHIwhen is she comin(g) back ?
  2. eng_USA_Brown/sarah130.cha, line 376 · Sarah, 4;11.04
    CHIdid you saw him before ?
    GAIyes .
    CHI*CHI: now he lives across the street too .
    GAIdoes he live there now ?
    CHIwhere ?
  3. eng_USA_Brown/sarah130.cha, line 589 · Sarah, 4;11.04
    CHIyeah .
    CHII'm makin(g) somethin(g) else .
    CHI*CHI: now how I'm gonna make .
    CHIdoes this look like the monkey ?
    CHIhey # maybe I could(n't) write a monkey .
  4. eng_USA_Brown/sarah130.cha, line 668 · Sarah, 4;11.04
    GAIwhat happened to that one ?
    CHIit's all scribbly up .
    CHI*CHI: now I know what to make .
    CHIhey # what's dis ?
    GAIwhat is that ?
  5. eng_USA_Brown/sarah130.cha, line 684 · Sarah, 4;11.04
    MOTis it still a u@l ?
    CHIuhhuh .
    CHI*CHI: now it's gonna turn into somethin(g) else .
    CHIa snake is goin(g) by it .
    GAIa snake is going by .
  6. eng_USA_Brown/sarah130.cha, line 935 · Sarah, 4;11.04
    MOTthere's not even a sign of them .
    MOTthey haven't even got the things off the windows yet .
    CHI*CHI: now I have to get it upside+down .
    GAIwhy ?
    MOTher and Laurie .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown8.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah130.chaSarah 4;11.04668668.98

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. now6 · 100.0%