PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

8.09 per 1,000 words of the child (CHI), in 1 of 1 transcripts (585 utterances, 1,113 words searched).

  1. um . CHI · eng_USA_Brown/sarah030.cha, line 46 · Sarah 2;09
  2. um . CHI · eng_USA_Brown/sarah030.cha, line 59 · Sarah 2;09
  3. um # ssh # uh [/] uh . CHI · eng_USA_Brown/sarah030.cha, line 92 · Sarah 2;09
  4. um . CHI · eng_USA_Brown/sarah030.cha, line 460 · Sarah 2;09
  5. um . CHI · eng_USA_Brown/sarah030.cha, line 635 · Sarah 2;09
  6. um yyy . CHI · eng_USA_Brown/sarah030.cha, line 1446 · Sarah 2;09
  7. um tootsie+roll . CHI · eng_USA_Brown/sarah030.cha, line 1658 · Sarah 2;09
  8. um . CHI · eng_USA_Brown/sarah030.cha, line 2121 · Sarah 2;09
  9. um # yyy . CHI · eng_USA_Brown/sarah030.cha, line 3106 · Sarah 2;09
  1. MOTa circus # yeah # and you saw Bozo ?
    MOTuhhuh # and what else ?
    CHI*CHI: um .
    MOToh # now you remember .
    CHIlions .
  2. MOThuh # and big mouths ?
    MOTuhhuh # and you saw what else ?
    CHI*CHI: um .
    MOTthe ele(phant) +/.
    CHIelephant .
  3. MOTI'll bet it was .
    MOTwhat else did you see ?
    CHI*CHI: um # ssh # uh [/] uh .
    MOTwhat're you thinking about ?
    MOTdon't you remember ?
  4. CHIpretty good .
    MOTpretty good ?
    CHI*CHI: um .
    MOTwhere's Mummy ?
    CHIuh here xxx .
  5. MOTyou do ?
    MOTshe loves Doctor_Marx # don't you ?
    CHI*CHI: um .
    MOTwhat color were the stitches ?
    CHIme .
  6. MOTgonna buy any candy ?
    MOTwhat kind of candy would you buy ?
    CHI*CHI: um yyy .
    MOThuh ?
    CHIxxx Putnam_Avenue .
  7. MOTwell # let me have it .
    MOTwhat kind is this now ?
    CHI*CHI: um tootsie+roll .
    MOTno # I [/] I asked for peppermint .
    CHIpeppermint ?
  8. MOTdo you have a pony+tail ?
    MOTwhen you have curls # how does Mummy make curls # in your hair ?
    CHI*CHI: um .
    MOTwith what ?
    CHIelastic .
  9. CHIyes .
    FATwhat's on your dress ?
    CHI*CHI: um # yyy .
    FATno # what are they ?
    CHIyyy .

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_Brown8.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah030.chaSarah 2;9.201,113998.09

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. um9 · 100.0%