PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (333 utterances, 1,262 words searched).

  1. you can even have three # how about that ? GLO · eng_USA_Brown/sarah044.cha, line 218 · Sarah 3;01
  2. what about green ones ? GLO · eng_USA_Brown/sarah044.cha, line 289 · Sarah 3;01
  3. what about your feet ? GLO · eng_USA_Brown/sarah044.cha, line 380 · Sarah 3;01
  4. what about hi_ho@b ? GLO · eng_USA_Brown/sarah044.cha, line 1107 · Sarah 3;01
  1. eng_USA_Brown/sarah044.cha, line 218 · Sarah, 3;1.10
    MOTthere .
    CHII want two .
    GLO*GLO: you can even have three # how about that ?
    GLOd(o) ya like popsicles ?
    GLOwell # say !
  2. eng_USA_Brown/sarah044.cha, line 289 · Sarah, 3;1.10
    GLOxxx .
    CHIblack ones .
    GLO*GLO: what about green ones ?
    CHIuh .
    GLOdo you like green ones ?
  3. eng_USA_Brown/sarah044.cha, line 380 · Sarah, 3;1.10
    GLOhand get wet .
    CHIyeah .
    GLO*GLO: what about your feet ?
    CHIno # it's not .
    GLOit's not .
  4. eng_USA_Brown/sarah044.cha, line 1107 · Sarah, 3;1.10
    CHIgiddyup ho(r)sie .
    CHI<giddyup # giddyup # giddyup # giddyup # giddyup # giddyup> [/] # giddyup .
    GLO*GLO: what about hi_ho@b ?
    CHIhuh ?
    GLOhi_o@b .

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_Brown3.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah044.chaSarah 3;1.101,262443.17

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. about4 · 100.0%