PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. did chu ? MOT · eng_USA_Brown/sarah044.cha, line 35 · Sarah 3;01
  2. what did you eat for lunch today ? GLO · eng_USA_Brown/sarah044.cha, line 307 · Sarah 3;01
  3. what # what did you eat for lunch today ? GLO · eng_USA_Brown/sarah044.cha, line 309 · Sarah 3;01
  4. when did she chip her tooth ? GLO · eng_USA_Brown/sarah044.cha, line 676 · Sarah 3;01
  5. yeah you did . GLO · eng_USA_Brown/sarah044.cha, line 1031 · Sarah 3;01
  6. oh # what did you do ? GLO · eng_USA_Brown/sarah044.cha, line 1222 · Sarah 3;01
  7. I don't know what you did with them . MOT · eng_USA_Brown/sarah044.cha, line 1329 · Sarah 3;01
  1. CHIxxx ?
    MOTya probably left em on the porch .
    MOT*MOT: did chu ?
    MOTdo you want to come to the table and play ?
    GLOplay ?
  2. GLOhuh ?
    CHIxxx .
    GLO*GLO: what did you eat for lunch today ?
    GLOwhat # what did you eat for lunch today ?
    CHIwhat ?
  3. CHIxxx .
    GLOwhat did you eat for lunch today ?
    GLO*GLO: what # what did you eat for lunch today ?
    CHIwhat ?
    GLOwhat'd cha have to eat today ?
  4. GLOhere you go .
    CHIuh .
    GLO*GLO: when did she chip her tooth ?
    MOToh quite a while ago .
    GLOwas it ?
  5. CHII made the ho(r)sie !
    GLOlet's see .
    GLO*GLO: yeah you did .
    CHII did it .
    CHIxxx o:h yyy .
  6. MOTyou got t(o) have a big mouth to eat all that # in one bite .
    CHIxxx .
    GLO*GLO: oh # what did you do ?
    GLOoh what happened ?
    CHII'm fa(lling) off .
  7. 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_Brown5.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah044.chaSarah 3;1.101,262775.55

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. did7 · 100.0%