PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. hmm ? MOT · eng_USA_Bates/frank28.cha, line 30 · Frank 2;04
  2. hmm . MOT · eng_USA_Bates/frank28.cha, line 73 · Frank 2;04
  3. hmm . MOT · eng_USA_Bates/frank28.cha, line 96 · Frank 2;04
  4. hmm . MOT · eng_USA_Bates/frank28.cha, line 126 · Frank 2;04
  5. hmm . MOT · eng_USA_Bates/frank28.cha, line 230 · Frank 2;04
  1. eng_USA_Bates/frank28.cha, line 30 · Frank, 2;4.
    MOTwhat're you doing ?
    CHIxxx .
    MOT*MOT: hmm ?
    MOTshould we take the car out ?
    CHIyeah .
  2. eng_USA_Bates/frank28.cha, line 73 · Frank, 2;4.
    CHII dump (th)em out .
    MOTyou are ?
    MOT*MOT: hmm .
    MOThere # I need some help .
    MOTthere we go .
  3. eng_USA_Bates/frank28.cha, line 96 · Frank, 2;4.
    MOTwhere're you going to put it ?
    CHIpeople .
    MOT*MOT: hmm .
    MOTwan(t) (t)a put the people in the rocking chair ?
    CHIwhat's that ?
  4. eng_USA_Bates/frank28.cha, line 126 · Frank, 2;4.
    MOTdinner time ?
    CHIyeah .
    MOT*MOT: hmm .
    MOTlook .
    CHIhmm ?
  5. eng_USA_Bates/frank28.cha, line 230 · Frank, 2;4.
    CHIchicken !
    MOTyeah !
    MOT*MOT: hmm .
    CHIuh .
    MOTxxx .

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_Bates25.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/frank28.chaFrank 2;4.1965525.51

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. hmm5 · 100.0%