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. where's ya what ? MOT · eng_USA_Brown/sarah044.cha, line 16 · Sarah 3;01
  2. ya probably left em on the porch . MOT · eng_USA_Brown/sarah044.cha, line 32 · Sarah 3;01
  3. what d(o) ya want ? GLO · eng_USA_Brown/sarah044.cha, line 52 · Sarah 3;01
  4. are ya writin(g) down the address . MOT · eng_USA_Brown/sarah044.cha, line 203 · Sarah 3;01
  5. d(o) ya like popsicles ? GLO · eng_USA_Brown/sarah044.cha, line 221 · Sarah 3;01
  6. who taught ya that ? MOT · eng_USA_Brown/sarah044.cha, line 1144 · Sarah 3;01
  7. ya what ? GLO · eng_USA_Brown/sarah044.cha, line 1205 · Sarah 3;01
  1. eng_USA_Brown/sarah044.cha, line 16 · Sarah, 3;1.10
    CHImy woman .
    MOT*MOT: where's ya what ?
    CHImy woman .
    MOTyer woman's right there .
  2. eng_USA_Brown/sarah044.cha, line 32 · Sarah, 3;1.10
    MOTI don't know .
    CHIxxx ?
    MOT*MOT: ya probably left em on the porch .
    MOTdid chu ?
    MOTdo you want to come to the table and play ?
  3. eng_USA_Brown/sarah044.cha, line 52 · Sarah, 3;1.10
    CHIxxx popsicles .
    CHIxxx popsicles .
    GLO*GLO: what d(o) ya want ?
    CHIpopsicle .
    CHII want a popsicle .
  4. eng_USA_Brown/sarah044.cha, line 203 · Sarah, 3;1.10
    MOTnow can you paint more uh # <pain(t)> [//] pencil ?
    MOTwould you like that ?
    MOT*MOT: are ya writin(g) down the address .
    TOMuh .
    MOTno ?
  5. eng_USA_Brown/sarah044.cha, line 221 · Sarah, 3;1.10
    CHII want two .
    GLOyou can even have three # how about that ?
    GLO*GLO: d(o) ya like popsicles ?
    GLOwell # say !
    CHI0 .
  6. eng_USA_Brown/sarah044.cha, line 1144 · Sarah, 3;1.10
    CHIso (th)ere .
    MOTxxx .
    MOT*MOT: who taught ya that ?
    CHImy daddy .
    MOTyeah .
  7. eng_USA_Brown/sarah044.cha, line 1205 · Sarah, 3;1.10
    CHIsit in out cookie .
    GLOsay that again .
    GLO*GLO: ya what ?
    CHIyou # what .
    MOTxxx take that whole thing out of your mouth .

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. ya7 · 100.0%