PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

2.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (684 utterances, 2,885 words searched).

  1. d(o) you want some soup ? MOT · eng_USA_Brown/eve12.cha, line 1448 · Eve 1;11
  2. I'm gonna give you some soup . MOT · eng_USA_Brown/eve12.cha, line 1458 · Eve 1;11
  3. soup . MOT · eng_USA_Brown/eve12.cha, line 1467 · Eve 1;11
  4. Papa's gonna have some soup . MOT · eng_USA_Brown/eve12.cha, line 1556 · Eve 1;11
  5. bouillon is soup . MOT · eng_USA_Brown/eve12.cha, line 1565 · Eve 1;11
  6. that's vegetable soup for me # cause you don't like it . MOT · eng_USA_Brown/eve12.cha, line 3553 · Eve 1;11
  7. you don't like vegetable soup # so you're having noodle soup . MOT · eng_USA_Brown/eve12.cha, line 3558 · Eve 1;11
  8. you don't like vegetable soup # so you're having noodle soup . MOT · eng_USA_Brown/eve12.cha, line 3558 · Eve 1;11
  1. MOTyes .
    MOTshe's your little friend .
    MOT*MOT: d(o) you want some soup ?
    CHIwhat that ?
    MOTthere's nothing in it yet .
  2. CHIwhat that ?
    MOTthere's nothing in it yet .
    MOT*MOT: I'm gonna give you some soup .
    CHII don't want soup .
    CHIwhat that ?
  3. CHII don't want soup .
    CHIwhat that ?
    MOT*MOT: soup .
    CHIwhat [/] what in there ?
    MOTbubbles .
  4. MOTyes .
    CHIwhat Papa have ?
    MOT*MOT: Papa's gonna have some soup .
    CHIan(d) bouillon .
    MOTyes .
  5. CHIan(d) bouillon .
    MOTyes .
    MOT*MOT: bouillon is soup .
    MOTnow what else can I get for you # Eve ?
    CHIhmm ?
  6. MOTis that alright ?
    CHISue # what that ?
    MOT*MOT: that's vegetable soup for me # cause you don't like it .
    MOTyou don't like vegetable soup # so you're having noodle soup .
    CHII want a piece of cheese .
  7. CHISue # what that ?
    MOTthat's vegetable soup for me # cause you don't like it .
    MOT*MOT: you don't like vegetable soup # so you're having noodle soup .
    CHII want a piece of cheese .
    MOTyou may have a piece of cheese .

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. Eve eng_USA_Brown2.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve12.chaEve 1;11.2,885782.77

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. soup8 · 100.0%