PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

17.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (111 utterances, 397 words searched).

  1. now you do it again . MOT · eng_USA_Bates/wanda20.cha, line 47 · Wanda 1;08
  2. now here's the doors . MOT · eng_USA_Bates/wanda20.cha, line 158 · Wanda 1;08
  3. now turn it over . MOT · eng_USA_Bates/wanda20.cha, line 231 · Wanda 1;08
  4. ok # now what are you going to do ? MOT · eng_USA_Bates/wanda20.cha, line 234 · Wanda 1;08
  5. now you do it . MOT · eng_USA_Bates/wanda20.cha, line 363 · Wanda 1;08
  6. now come on . MOT · eng_USA_Bates/wanda20.cha, line 381 · Wanda 1;08
  7. now what ? MOT · eng_USA_Bates/wanda20.cha, line 394 · Wanda 1;08
  1. eng_USA_Bates/wanda20.cha, line 47 · Wanda, 1;8.
    MOTturn it around .
    MOTsee ?
    MOT*MOT: now you do it again .
    CHIah Mommy .
    MOTdo it .
  2. eng_USA_Bates/wanda20.cha, line 158 · Wanda, 1;8.
    MOTit's a house .
    MOTsee ?
    MOT*MOT: now here's the doors .
    MOTput the people in the house .
    MOTput them ta bed .
  3. eng_USA_Bates/wanda20.cha, line 231 · Wanda, 1;8.
    MOTok .
    CHI0 .
    MOT*MOT: now turn it over .
    MOTok # now what are you going to do ?
    CHIno yyy .
  4. eng_USA_Bates/wanda20.cha, line 234 · Wanda, 1;8.
    CHI0 .
    MOTnow turn it over .
    MOT*MOT: ok # now what are you going to do ?
    CHIno yyy .
    MOTcareful .
  5. eng_USA_Bates/wanda20.cha, line 363 · Wanda, 1;8.
    MOTcan you do that ?
    CHI0 .
    MOT*MOT: now you do it .
    MOTyou stack it up .
    MOTyou do it .
  6. eng_USA_Bates/wanda20.cha, line 381 · Wanda, 1;8.
    MOTput (th)em all up there .
    MOTyou did .
    MOT*MOT: now come on .
    CHI0 .
    MOTyay Trish !
  7. eng_USA_Bates/wanda20.cha, line 394 · Wanda, 1;8.
    MOTyou did it .
    CHI0 .
    MOT*MOT: now what ?
    MOTwhat are those ?
    MOThuh ?

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. Wanda eng_USA_Bates17.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/wanda20.chaWanda 1;8.3977717.63

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. now7 · 100.0%