PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

6.32 per 1,000 words of the child (CHI), in 1 of 1 transcripts (231 utterances, 949 words searched).

  1. so I put up six fingers ? CHI · eng_USA_Brown/sarah131.cha, line 287 · Sarah 4;11
  2. this one don't either # so it's that one # right ? CHI · eng_USA_Brown/sarah131.cha, line 478 · Sarah 4;11
  3. so # I'm on that one . CHI · eng_USA_Brown/sarah131.cha, line 488 · Sarah 4;11
  4. so I'll write down that one . CHI · eng_USA_Brown/sarah131.cha, line 695 · Sarah 4;11
  5. # so let's do another page # (be)cause I # oh # this is a nice one . CHI · eng_USA_Brown/sarah131.cha, line 758 · Sarah 4;11
  6. so I got lots of piggie+banks # do you ? CHI · eng_USA_Brown/sarah131.cha, line 1094 · Sarah 4;11
  1. CHIstart all over on this page .
    CHIfour plus two and six .
    CHI*CHI: so I put up six fingers ?
    CHIand one # two # three # four # five # six # one # two # three # four # five # six .
    CHInow take away six .
  2. CHIoh .
    CHI(be)cause this one don't have um # a plus # see ?
    CHI*CHI: this one don't either # so it's that one # right ?
    MELI think so # yeah .
    CHI(be)cause I was first starting on that one # then I was goin(g) on that one # then I was goin(g) on that one .
  3. MELI think so # yeah .
    CHI(be)cause I was first starting on that one # then I was goin(g) on that one # then I was goin(g) on that one .
    CHI*CHI: so # I'm on that one .
    MOTtry and figure that one out .
    MELxxx logic .
  4. MOThuh ?
    CHIyeah .
    CHI*CHI: so I'll write down that one .
    CHII'll copy it .
    MOTthat's backwards .
  5. CHIwell I can make it like this .
    CHIum .
    CHI*CHI: # so let's do another page # (be)cause I # oh # this is a nice one .
    CHIput it on that one .
    GAIthat's different from your usual one .
  6. MOTGail's next .
    MELnow we'll be able to save all our pennies that way # and then buy things we really need .
    CHI*CHI: so I got lots of piggie+banks # do you ?
    MELdo we get lots ?
    MELwell # we've got lots here .

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_Brown6.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah131.chaSarah 4;11.13949666.32

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. so6 · 100.0%