PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (370 utterances, 1,524 words searched).

  1. I like to look at you . GLO · eng_USA_Brown/sarah047.cha, line 239 · Sarah 3;02
  2. I like you . GLO · eng_USA_Brown/sarah047.cha, line 241 · Sarah 3;02
  3. +" like juice . GLO · eng_USA_Brown/sarah047.cha, line 331 · Sarah 3;02
  4. +" I like you . GLO · eng_USA_Brown/sarah047.cha, line 443 · Sarah 3;02
  5. <did you like it> [?] ? GLO · eng_USA_Brown/sarah047.cha, line 496 · Sarah 3;02
  6. and move your thumb over here like in a glove . GLO · eng_USA_Brown/sarah047.cha, line 706 · Sarah 3;02
  1. eng_USA_Brown/sarah047.cha, line 239 · Sarah, 3;2.02
    GLOyou don't want to look at me ?
    GLOoh that's better .
    GLO*GLO: I like to look at you .
    GLOI like you .
    CHIcig(a)rettes .
  2. eng_USA_Brown/sarah047.cha, line 241 · Sarah, 3;2.02
    GLOoh that's better .
    GLOI like to look at you .
    GLO*GLO: I like you .
    CHIcig(a)rettes .
    GLO<where are you going tomorrow> [?] ?
  3. eng_USA_Brown/sarah047.cha, line 331 · Sarah, 3;2.02
    GLO+" you're a good girl .
    GLO+" oh that's nice .
    GLO*GLO: +" like juice .
    GLOxxx .
    CHIyyy .
  4. eng_USA_Brown/sarah047.cha, line 443 · Sarah, 3;2.02
    GLOhello [?] .
    CHI<hello there> [?] .
    GLO*GLO: +" I like you .
    CHI<he yyy like> [?] .
    GLO+" you gi(ve) me a hug .
  5. eng_USA_Brown/sarah047.cha, line 496 · Sarah, 3;2.02
    GLO<did Sarah give you orange+juice> [?] ?
    CHIyep [?] .
    GLO*GLO: <did you like it> [?] ?
    CHIsay yep .
    GLO<wha(t)> [//] what is he doing now ?
  6. eng_USA_Brown/sarah047.cha, line 706 · Sarah, 3;2.02
    GLOgive me the problems # huh ?
    GLOone # one finger there .
    GLO*GLO: and move your thumb over here like in a glove .
    GLOand your little pinkie # in here .
    GLOok ?

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_Brown3.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah047.chaSarah 3;2.021,524663.94

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. like6 · 100.0%