PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

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

  1. where # mine coffee ? CHI · eng_USA_Brown/adam15.cha, line 1104 · Adam 2;10
  2. want some coffee . CHI · eng_USA_Brown/adam15.cha, line 1529 · Adam 2;10
  3. oh you [?] made [?] my coffee fall . CHI · eng_USA_Brown/adam15.cha, line 2660 · Adam 2;10
  4. dat not coffee . CHI · eng_USA_Brown/adam15.cha, line 2669 · Adam 2;10
  5. why not my coffee fall ? CHI · eng_USA_Brown/adam15.cha, line 2671 · Adam 2;10
  6. want some more # coffee your coffee . CHI · eng_USA_Brown/adam15.cha, line 2704 · Adam 2;10
  7. want some more # coffee your coffee . CHI · eng_USA_Brown/adam15.cha, line 2704 · Adam 2;10
  1. eng_USA_Brown/adam15.cha, line 1104 · Adam, 2;10.02
    CHIdoesn't xxx .
    MOTI wouldn't put it on with blocks in it .
    CHI*CHI: where # mine coffee ?
    CHII # simply don't want it [= bean bag] .
    MOTdon't want what ?
  2. eng_USA_Brown/adam15.cha, line 1529 · Adam, 2;10.02
    MOTwhy are you doing that ?
    CHIouch # sir .
    CHI*CHI: want some coffee .
    MOTalright .
    MOTit'll be ready soon .
  3. eng_USA_Brown/adam15.cha, line 2660 · Adam, 2;10.02
    RICwhat are you doing ?
    CHIouch .
    CHI*CHI: oh you [?] made [?] my coffee fall .
    MOTdon't let it fall .
    CHIwhy not ?
  4. eng_USA_Brown/adam15.cha, line 2669 · Adam, 2;10.02
    CHIwhy not ?
    MOTbecause you'll spill it .
    CHI*CHI: dat not coffee .
    CHIwhy not my coffee fall ?
    CHIhere me comes # sir .
  5. eng_USA_Brown/adam15.cha, line 2671 · Adam, 2;10.02
    MOTbecause you'll spill it .
    CHIdat not coffee .
    CHI*CHI: why not my coffee fall ?
    CHIhere me comes # sir .
    MOThere me comes ?
  6. eng_USA_Brown/adam15.cha, line 2704 · Adam, 2;10.02
    CHIwhy not ?
    MOTI think you've had enough .
    CHI*CHI: want some more # coffee your coffee .
    MOTno # I've had enough # and I think you've had enough too .
    CHIwant some yours .

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_Brown3.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam15.chaAdam 2;10.022,020673.47

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. coffee7 · 100.0%