PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (333 utterances, 1,262 words searched).

  1. would you stay with me ? GLO · eng_USA_Brown/sarah044.cha, line 737 · Sarah 3;01
  2. I'd like to visit with you . GLO · eng_USA_Brown/sarah044.cha, line 739 · Sarah 3;01
  3. and talk with you . GLO · eng_USA_Brown/sarah044.cha, line 741 · Sarah 3;01
  4. what's this with the eyes ? MOT · eng_USA_Brown/sarah044.cha, line 1158 · Sarah 3;01
  5. what are you doing with the cookie ? GLO · eng_USA_Brown/sarah044.cha, line 1193 · Sarah 3;01
  6. I don't know what you did with them . MOT · eng_USA_Brown/sarah044.cha, line 1329 · Sarah 3;01
  1. eng_USA_Brown/sarah044.cha, line 737 · Sarah, 3;1.10
    MOToh you had a little stuff on your nose .
    CHII want to go out .
    GLO*GLO: would you stay with me ?
    GLOI'd like to visit with you .
    GLOand talk with you .
  2. eng_USA_Brown/sarah044.cha, line 739 · Sarah, 3;1.10
    CHII want to go out .
    GLOwould you stay with me ?
    GLO*GLO: I'd like to visit with you .
    GLOand talk with you .
    GLOand say hello to you .
  3. eng_USA_Brown/sarah044.cha, line 741 · Sarah, 3;1.10
    GLOwould you stay with me ?
    GLOI'd like to visit with you .
    GLO*GLO: and talk with you .
    GLOand say hello to you .
    GLOwhat else is in there ?
  4. eng_USA_Brown/sarah044.cha, line 1158 · Sarah, 3;1.10
    MOThuh ?
    CHIhe rears # bububabafu@b # there .
    MOT*MOT: what's this with the eyes ?
    CHIhe &cof +...
    GLOwha(t) ?
  5. eng_USA_Brown/sarah044.cha, line 1193 · Sarah, 3;1.10
    GLOwhat's that ?
    CHIcookie .
    GLO*GLO: what are you doing with the cookie ?
    CHIsit out .
    MOTyou what ?
  6. eng_USA_Brown/sarah044.cha, line 1329 · Sarah, 3;1.10
    MOTum .
    CHIwhere's her clothes ?
    MOT*MOT: I don't know what you did with them .
    MOTyou took them off again .
    MOTevery time I dress (h)er # you take (h)er clothes off .

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_Brown4.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah044.chaSarah 3;1.101,262664.75

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. with6 · 100.0%