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. all wiped up . GLO · eng_USA_Brown/sarah047.cha, line 299 · Sarah 3;02
  2. <did you drink all your milk> [?] ? GLO · eng_USA_Brown/sarah047.cha, line 315 · Sarah 3;02
  3. <I yyy> [//] uh well # all day yesterday . MOT · eng_USA_Brown/sarah047.cha, line 652 · Sarah 3;02
  4. ya got all kinds of band aids on him <an(d)> [/] and +... MOT · eng_USA_Brown/sarah047.cha, line 1098 · Sarah 3;02
  5. what happened to all those bandaids we had on em ? GLO · eng_USA_Brown/sarah047.cha, line 1126 · Sarah 3;02
  6. I thought I had it all licked . GLO · eng_USA_Brown/sarah047.cha, line 1148 · Sarah 3;02
  1. eng_USA_Brown/sarah047.cha, line 299 · Sarah, 3;2.02
    CHImatches .
    GLOSarah # did you finish your Loop_loops this morning ?
    GLO*GLO: all wiped up .
    GLOwhat else did you have ?
    CHIuh Kelloggs .
  2. eng_USA_Brown/sarah047.cha, line 315 · Sarah, 3;2.02
    CHIcarrots .
    GLOmilk ?
    GLO*GLO: <did you drink all your milk> [?] ?
    CHIyep .
    GLO<you're a good girl> [?] .
  3. eng_USA_Brown/sarah047.cha, line 652 · Sarah, 3;2.02
    MOTI don't know where she ever heard it .
    GLO<whe(re)> [//] where did she hear it ?
    MOT*MOT: <I yyy> [//] uh well # all day yesterday .
    CHIbite me .
    CHIow # he # bite me again .
  4. eng_USA_Brown/sarah047.cha, line 1098 · Sarah, 3;2.02
    MOTlet me see .
    CHI0 .
    MOT*MOT: ya got all kinds of band aids on him <an(d)> [/] and +...
    CHIMommy .
    GLOwho # who gave that to you ?
  5. eng_USA_Brown/sarah047.cha, line 1126 · Sarah, 3;2.02
    GLOyeah .
    GLOmaybe Don can fix it .
    GLO*GLO: what happened to all those bandaids we had on em ?
    CHItwo .
    CHIon a head .
  6. eng_USA_Brown/sarah047.cha, line 1148 · Sarah, 3;2.02
    GLOyeah # but its going to come out here .
    GLOoh is it ?
    GLO*GLO: I thought I had it all licked .
    CHIit's on here too .
    CHIwhat color xxx this thing is ?

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. all6 · 100.0%