PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

20.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (61 utterances, 196 words searched).

  1. here # I need some help . MOT · eng_USA_Bates/frank28.cha, line 76 · Frank 2;04
  2. here's a table . MOT · eng_USA_Bates/frank28.cha, line 136 · Frank 2;04
  3. here's the car . MOT · eng_USA_Bates/frank28.cha, line 200 · Frank 2;04
  4. here . MOT · eng_USA_Bates/frank28.cha, line 263 · Frank 2;04
  1. eng_USA_Bates/frank28.cha, line 76 · Frank, 2;4.
    MOTyou are ?
    MOThmm .
    MOT*MOT: here # I need some help .
    MOTthere we go .
    CHIthis is a rocking chair .
  2. eng_USA_Bates/frank28.cha, line 136 · Frank, 2;4.
    CHIhmm ?
    MOTlook at this .
    MOT*MOT: here's a table .
    CHIhuh ?
    MOTtwo chairs # and some people ?
  3. eng_USA_Bates/frank28.cha, line 200 · Frank, 2;4.
    CHIxxx dump (th)em out .
    MOTok .
    MOT*MOT: here's the car .
    CHIxxx .
    MOTwell .
  4. eng_USA_Bates/frank28.cha, line 263 · Frank, 2;4.
    CHIyyy ?
    MOTwhoa .
    MOT*MOT: here .
    MOTset that by the table .
    MOTno # you can't walk up that ladder # you're too big .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but 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. Frank eng_USA_Bates20.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/frank28.chaFrank 2;4.1964420.41

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. here4 · 100.0%