PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

8.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (222 utterances, 739 words searched).

  1. where's the other one ? MOT · eng_USA_Brown/sarah040.cha, line 216 · Sarah 3;00
  2. where you going ? MOT · eng_USA_Brown/sarah040.cha, line 373 · Sarah 3;00
  3. where you want (t)a put him ? MOT · eng_USA_Brown/sarah040.cha, line 419 · Sarah 3;00
  4. where's your baby pillow ? MOT · eng_USA_Brown/sarah040.cha, line 773 · Sarah 3;00
  5. where's the baby pillow ? MOT · eng_USA_Brown/sarah040.cha, line 777 · Sarah 3;00
  6. where you going ? MOT · eng_USA_Brown/sarah040.cha, line 1001 · Sarah 3;00
  1. eng_USA_Brown/sarah040.cha, line 216 · Sarah, 3;0.18
    CHIhe bite me .
    CHIhe [//] # <dis xxx> [/] # dis one Tiger . [+ bch]
    MOT*MOT: where's the other one ?
    MOToh # here it is .
    CHIa monkey # stay here .
  2. eng_USA_Brown/sarah040.cha, line 373 · Sarah, 3;0.18
    CHIdat's yours ?
    CHIwhere put him home .
    MOT*MOT: where you going ?
    CHIno .
    CHIoh .
  3. eng_USA_Brown/sarah040.cha, line 419 · Sarah, 3;0.18
    CHIwhere put him ?
    MOTI don't know .
    MOT*MOT: where you want (t)a put him ?
    CHIin here ?
    CHIxxx baby # mine .
  4. eng_USA_Brown/sarah040.cha, line 773 · Sarah, 3;0.18
    CHIMummy .
    MOTyou get your baby pillow .
    MOT*MOT: where's your baby pillow ?
    CHIhuh ?
    MOTwhere's the baby pillow ?
  5. eng_USA_Brown/sarah040.cha, line 777 · Sarah, 3;0.18
    MOTwhere's your baby pillow ?
    CHIhuh ?
    MOT*MOT: where's the baby pillow ?
    CHIbig pillow ?
    CHIdere's a clothes .
  6. eng_USA_Brown/sarah040.cha, line 1001 · Sarah, 3;0.18
    CHII make top # for it xxx .
    CHIxxx .
    MOT*MOT: where you going ?
    CHII gonna get more water [?] .
    MOThow much you got ?

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_Brown8.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah040.chaSarah 3;0.18739668.12

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. where6 · 100.0%