PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

1.56 per 1,000 words of the child (CHI), in 1 of 1 transcripts (726 utterances, 2,561 words searched).

  1. Sue # what are you folding ? CHI · eng_USA_Brown/eve15.cha, line 3048 · Eve 2;01
  2. Mom # what are you doing ? CHI · eng_USA_Brown/eve15.cha, line 4841 · Eve 2;01
  3. Sue # what are you getting ? CHI · eng_USA_Brown/eve15.cha, line 5151 · Eve 2;01
  4. what are you doing ? CHI · eng_USA_Brown/eve15.cha, line 5396 · Eve 2;01
  1. eng_USA_Brown/eve15.cha, line 3048 · Eve, 2;1.
    CHIafter my nap .
    MOTuhhuh .
    CHI*CHI: Sue # what are you folding ?
    MOTwhat am I folding ?
    CHIa cloth .
  2. eng_USA_Brown/eve15.cha, line 4841 · Eve, 2;1.
    CHIhi # Fraser .
    COLhello # Eve .
    CHI*CHI: Mom # what are you doing ?
    CHIwhat a(re) you doing ?
    MOTwhat am I doing ?
  3. eng_USA_Brown/eve15.cha, line 5151 · Eve, 2;1.
    CHISue # what you do ?
    MOTI'm going to put it in bowls and I'm going to eat it with my fingers .
    CHI*CHI: Sue # what are you getting ?
    MOTxxx a napkin ?
    CHISue # what [//] why you wipe on your leg ?
  4. eng_USA_Brown/eve15.cha, line 5396 · Eve, 2;1.
    MOTwe all have teeth .
    CHIwe all have teeth .
    CHI*CHI: what are you doing ?
    MOTwhat am I doing ?
    MOTEve # do we have teeth all ?

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. Eve eng_USA_Brown1.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve15.chaEve 2;1.2,561441.56

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. are4 · 100.0%