PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

7.37 per 1,000 words of the child (CHI), in 1 of 1 transcripts (285 utterances, 814 words searched).

  1. now I nee(d) me # in a mim@c . CHI · eng_USA_Brown/sarah056.cha, line 195 · Sarah 3;04
  2. now # a@l . CHI · eng_USA_Brown/sarah056.cha, line 305 · Sarah 3;04
  3. now # make a # yyy # one o(f) those . CHI · eng_USA_Brown/sarah056.cha, line 581 · Sarah 3;04
  4. now you chew that r@l ? CHI · eng_USA_Brown/sarah056.cha, line 848 · Sarah 3;04
  5. let's see him to now . CHI · eng_USA_Brown/sarah056.cha, line 1042 · Sarah 3;04
  6. Snoopy # now # wha(t) I goin(g) get ? CHI · eng_USA_Brown/sarah056.cha, line 1167 · Sarah 3;04
  1. eng_USA_Brown/sarah056.cha, line 195 · Sarah, 3;4.01
    CHIda(t)'s an h@l .
    GLOwhat does a nitch@t do ?
    CHI*CHI: now I nee(d) me # in a mim@c .
    CHIa nim@c .
    GLOa mim@c ?
  2. eng_USA_Brown/sarah056.cha, line 305 · Sarah, 3;4.01
    MOTthat's not a k@l .
    CHIthat one broke(n) # huh ?
    CHI*CHI: now # a@l .
    CHIan h@l .
    CHIand an h@l # right dere .
  3. eng_USA_Brown/sarah056.cha, line 581 · Sarah, 3;4.01
    MOTdo you see it # honey ?
    CHIthere # huh .
    CHI*CHI: now # make a # yyy # one o(f) those .
    MOTuh # let's see if we can find one .
    CHIuh # I fin(d) one .
  4. eng_USA_Brown/sarah056.cha, line 848 · Sarah, 3;4.01
    MOTthe r@l-s +...
    GLOoh # here's the r@l .
    CHI*CHI: now you chew that r@l ?
    CHIhuh ?
    CHII goin(g) chew you # hah .
  5. eng_USA_Brown/sarah056.cha, line 1042 · Sarah, 3;4.01
    MOT(be)cause you're gonna give that to Tommy .
    MOT<you're gonna give that to Tommy and> [//] let me put it back in the box .
    CHI*CHI: let's see him to now .
    MOTya can't give it to him .
    MOTya have to give it to him for Christmas .
  6. eng_USA_Brown/sarah056.cha, line 1167 · Sarah, 3;4.01
    KENSnoopy .
    MOTSnoopy .
    CHI*CHI: Snoopy # now # wha(t) I goin(g) get ?
    MOTyou always have a long list # don't you ?
    CHIyeah .

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_Brown7.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah056.chaSarah 3;4.01814667.37

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%