PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.46 per 1,000 words of the child (CHI), in 1 of 1 transcripts (775 utterances, 2,020 words searched).

  1. we going crying [?] (a)round . CHI · eng_USA_Brown/adam15.cha, line 375 · Adam 2;10
  2. we waiting # get on train . CHI · eng_USA_Brown/adam15.cha, line 475 · Adam 2;10
  3. we waiting # sir . CHI · eng_USA_Brown/adam15.cha, line 479 · Adam 2;10
  4. we found it . CHI · eng_USA_Brown/adam15.cha, line 927 · Adam 2;10
  5. we # making train . CHI · eng_USA_Brown/adam15.cha, line 1320 · Adam 2;10
  6. we making # lots of things . CHI · eng_USA_Brown/adam15.cha, line 1326 · Adam 2;10
  7. we playing . CHI · eng_USA_Brown/adam15.cha, line 1328 · Adam 2;10
  8. we fells@n . CHI · eng_USA_Brown/adam15.cha, line 2193 · Adam 2;10
  9. xxx here [?] we [?] go [?] . CHI · eng_USA_Brown/adam15.cha, line 2232 · Adam 2;10
  1. CHIhuh ?
    CHIgot some sugar .
    CHI*CHI: we going crying [?] (a)round .
    MOTyou're going around ?
    MOTgoing around what ?
  2. MOTyou're waving ?
    CHIhi # blocks .
    CHI*CHI: we waiting # get on train .
    CHIwait # get on .
    CHIwe waiting # sir .
  3. CHIwe waiting # get on train .
    CHIwait # get on .
    CHI*CHI: we waiting # sir .
    CHIwh(at) (h)appen dat wheel .
    CHIwh(at) (h)appen dat wheel .
  4. URSthere's one wheel # you're right .
    CHIyeah .
    CHI*CHI: we found it .
    CHIwhere # (a)nother wheel # huh ?
    CHIwhat dat ?
  5. CHIwhat else ?
    CHIwhat else ?
    CHI*CHI: we # making train .
    MOTyou're making trains ?
    CHIyes .
  6. MOTyou're making trains ?
    CHIyes .
    CHI*CHI: we making # lots of things .
    CHIwe playing .
    CHItake dat off .
  7. CHIyes .
    CHIwe making # lots of things .
    CHI*CHI: we playing .
    CHItake dat off .
    CHIdat one .
  8. CHIdon't pop up .
    CHIdon't +...
    CHI*CHI: we fells@n .
    CHII # pick him up .
    CHIwhat funny bout ?
  9. URSthank you .
    CHIyou welcome .
    CHI*CHI: xxx here [?] we [?] go [?] .
    MOTI think he said here we go .
    MOTxxx .

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. Adam eng_USA_Brown4.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam15.chaAdam 2;10.022,020994.46

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. we9 · 100.0%