PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 1,245 words searched).

  1. did you go to the doctor ? GLO · eng_USA_Brown/sarah027.cha, line 1080 · Sarah 2;09
  2. what did the doctor do to you # Sarah ? GLO · eng_USA_Brown/sarah027.cha, line 1152 · Sarah 2;09
  3. who took you to the doctor yesterday ? MOT · eng_USA_Brown/sarah027.cha, line 1233 · Sarah 2;09
  4. how did you go to the doctor ? GLO · eng_USA_Brown/sarah027.cha, line 1244 · Sarah 2;09
  5. did you ride to the doctor ? GLO · eng_USA_Brown/sarah027.cha, line 1250 · Sarah 2;09
  6. you saw the doctor ! GLO · eng_USA_Brown/sarah027.cha, line 1255 · Sarah 2;09
  7. what did the doctor give you because you were such a good girl ? MOT · eng_USA_Brown/sarah027.cha, line 1269 · Sarah 2;09
  1. GLOSarah # what happened to you yesterday ?
    CHII (do)n('t) know .
    GLO*GLO: did you go to the doctor ?
    CHI0 .
    GLOdid you ?
  2. COUwhat did you do ?
    CHII went xxx slide .
    GLO*GLO: what did the doctor do to you # Sarah ?
    CHIa fixed my boo+boo all up .
    MOThe fixed your boo+boo all up .
  3. CHImy no my xxx .
    MOTwhat ?
    MOT*MOT: who took you to the doctor yesterday ?
    CHIMummy .
    GLOwhat did Mummy do ?
  4. CHIxxx walk .
    MOTyou didn't walk !
    GLO*GLO: how did you go to the doctor ?
    CHI(be)cause .
    GLOno # how ?
  5. CHI(be)cause .
    GLOno # how ?
    GLO*GLO: did you ride to the doctor ?
    CHII saw doc(tor) .
    GLOyou saw the doctor !
  6. GLOdid you ride to the doctor ?
    CHII saw doc(tor) .
    GLO*GLO: you saw the doctor !
    CHI0 .
    GLOdid he see you ?
  7. GLOhow do you know ?
    CHIxxx .
    MOT*MOT: what did the doctor give you because you were such a good girl ?
    CHIhe hit my elbow .
    GLOhe hit your elbow !

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. Sarah eng_USA_Brown5.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah027.chaSarah 2;9.1,245775.62

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. doctor7 · 100.0%