PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (621 utterances, 1,273 words searched).

  1. yeah # it's right there . MOT · eng_USA_Brown/sarah002.cha, line 427
  2. right there # Mommy . SAR · eng_USA_Brown/sarah002.cha, line 443
  3. right there # Mommy . SAR · eng_USA_Brown/sarah002.cha, line 833
  4. right there # Mommy . SAR · eng_USA_Brown/sarah002.cha, line 837
  5. right there ? MOT · eng_USA_Brown/sarah002.cha, line 839
  6. what's right there ? MOT · eng_USA_Brown/sarah002.cha, line 841
  7. all right . MOT · eng_USA_Brown/sarah002.cha, line 1236
  8. I'm right here . MOT · eng_USA_Brown/sarah002.cha, line 1248
  1. eng_USA_Brown/sarah002.cha, line 427
    SARxx girl xx ?
    SARgirl dere ?
    MOT*MOT: yeah # it's right there .
    SARxx ?
    MOTwhat's this ?
  2. eng_USA_Brown/sarah002.cha, line 443
    MOTapple pie .
    SARapple pie .
    SAR*SAR: right there # Mommy .
    MOTwho's that ?
    SARa Bobo@f .
  3. eng_USA_Brown/sarah002.cha, line 833
    MOTan egg .
    MOTyeah .
    SAR*SAR: right there # Mommy .
    MOThmm ?
    SARright there # Mommy .
  4. eng_USA_Brown/sarah002.cha, line 837
    SARright there # Mommy .
    MOThmm ?
    SAR*SAR: right there # Mommy .
    MOTright there ?
    MOTwhat's right there ?
  5. eng_USA_Brown/sarah002.cha, line 839
    MOThmm ?
    SARright there # Mommy .
    MOT*MOT: right there ?
    MOTwhat's right there ?
    SARxx .
  6. eng_USA_Brown/sarah002.cha, line 841
    SARright there # Mommy .
    MOTright there ?
    MOT*MOT: what's right there ?
    SARxx .
    SARMommy .
  7. eng_USA_Brown/sarah002.cha, line 1236
    SARI read story .
    MOTyou want to read a story ?
    MOT*MOT: all right .
    MOTyou set there and read a story .
    SARxx .
  8. eng_USA_Brown/sarah002.cha, line 1248
    SARMommy ?
    MOTwhat ?
    MOT*MOT: I'm right here .
    MOTc(o)me (h)ere .
    SARyy xx .

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown6.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah002.chaSarah 1,273886.28

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. right8 · 100.0%