PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

6.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (195 utterances, 780 words searched).

  1. let's find something for you to draw on over here . MEL · eng_USA_Brown/sarah126.cha, line 75 · Sarah 4;09
  2. this is just so you'll have something flat to draw on over here # so we can see you . MEL · eng_USA_Brown/sarah126.cha, line 102 · Sarah 4;09
  3. see what happens if you put red over it . MEL · eng_USA_Brown/sarah126.cha, line 288 · Sarah 4;09
  4. Sarah # way over . MEL · eng_USA_Brown/sarah126.cha, line 652 · Sarah 4;09
  5. do you wanna get red all over him ? MEL · eng_USA_Brown/sarah126.cha, line 757 · Sarah 4;09
  1. eng_USA_Brown/sarah126.cha, line 75 · Sarah, 4;9.26
    CHIwhoops # I made a boo+boo .
    MELa boo+boo ?
    MEL*MEL: let's find something for you to draw on over here .
    MELlet's see .
    CHIdose are my Mother's pictures .
  2. eng_USA_Brown/sarah126.cha, line 102 · Sarah, 4;9.26
    CHI<like that> [//] <now # that> [//] wait a minute .
    CHIget my Mother's pictures .
    MEL*MEL: this is just so you'll have something flat to draw on over here # so we can see you .
    MELwait we'll put this one there .
    MEL<put that> [//] pick # yeah .
  3. eng_USA_Brown/sarah126.cha, line 288 · Sarah, 4;9.26
    CHIit almost looks like a turtle .
    CHIsee # dere's de black .
    MEL*MEL: see what happens if you put red over it .
    CHIok .
    CHIhold that .
  4. eng_USA_Brown/sarah126.cha, line 652 · Sarah, 4;9.26
    MOT<very much> [?] .
    MOTwhoop # watch where you're goin(g) .
    MEL*MEL: Sarah # way over .
    CHI<I'll> [//] where's my dollies ?
    CHIoh # both of them under here .
  5. eng_USA_Brown/sarah126.cha, line 757 · Sarah, 4;9.26
    CHIno # xxx .
    CHIyou can't know what that is .
    MEL*MEL: do you wanna get red all over him ?
    CHII'm makin(g) my name .
    CHII can # write on dis .

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_Brown6.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah126.chaSarah 4;9.26780556.41

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. over5 · 100.0%