PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

7.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (425 utterances, 1,572 words searched).

  1. there # you made a fish . GLO · eng_USA_Brown/sarah056.cha, line 147 · Sarah 3;04
  2. there's that . MOT · eng_USA_Brown/sarah056.cha, line 162 · Sarah 3;04
  3. is that on top in there ? MOT · eng_USA_Brown/sarah056.cha, line 259 · Sarah 3;04
  4. xxx out there . MOT · eng_USA_Brown/sarah056.cha, line 265 · Sarah 3;04
  5. <do you have the board that> [//] is there a board for that ? GLO · eng_USA_Brown/sarah056.cha, line 278 · Sarah 3;04
  6. right there . MOT · eng_USA_Brown/sarah056.cha, line 828 · Sarah 3;04
  7. what are you chewin(g) on there ? KEN · eng_USA_Brown/sarah056.cha, line 997 · Sarah 3;04
  8. there you get another one . GLO · eng_USA_Brown/sarah056.cha, line 1547 · Sarah 3;04
  9. there you get a three for that . GLO · eng_USA_Brown/sarah056.cha, line 1581 · Sarah 3;04
  10. there's an r@l for you . GLO · eng_USA_Brown/sarah056.cha, line 1638 · Sarah 3;04
  11. there's an a@l for you . GLO · eng_USA_Brown/sarah056.cha, line 1646 · Sarah 3;04
  1. eng_USA_Brown/sarah056.cha, line 147 · Sarah, 3;4.01
    GLOthat looks like a fish +...
    GLObig tail .
    GLO*GLO: there # you made a fish .
    CHImake an h@l .
    MOTwant to make a nitch@t ?
  2. eng_USA_Brown/sarah056.cha, line 162 · Sarah, 3;4.01
    MOToh # what happened to your finger # honey ?
    MOTlet's make a nitch@t .
    MOT*MOT: there's that .
    MOTdoes that look like a nitch@t ?
    MOTdoes this look like a nitch@t ?
  3. eng_USA_Brown/sarah056.cha, line 259 · Sarah, 3;4.01
    MOTon top # I said .
    MOTright here .
    MOT*MOT: is that on top in there ?
    MOThuh ?
    CHIno .
  4. eng_USA_Brown/sarah056.cha, line 265 · Sarah, 3;4.01
    MOThuh ?
    CHIno .
    MOT*MOT: xxx out there .
    MOTuhoh .
    MOTlook what happened .
  5. eng_USA_Brown/sarah056.cha, line 278 · Sarah, 3;4.01
    MOT0 .
    CHIuh .
    GLO*GLO: <do you have the board that> [//] is there a board for that ?
    MOTno .
    MOThere .
  6. eng_USA_Brown/sarah056.cha, line 828 · Sarah, 3;4.01
    MOTya got an a@l right here .
    CHIwhere is it ?
    MOT*MOT: right there .
    CHIoh .
    CHIwhere's the um # t@l ?
  7. eng_USA_Brown/sarah056.cha, line 997 · Sarah, 3;4.01
    CHIhmm .
    MOThe is murdered .
    KEN*KEN: what are you chewin(g) on there ?
    MOThe's the baby in that +...
    CHIhmm .
  8. eng_USA_Brown/sarah056.cha, line 1547 · Sarah, 3;4.01
    GLOtortion@t .
    CHItortion@t .
    GLO*GLO: there you get another one .
    GLOinstitution@t .
    CHIin(s)titution@t .
  9. eng_USA_Brown/sarah056.cha, line 1581 · Sarah, 3;4.01
    GLOcalibrate@t .
    CHIcalibrate@t .
    GLO*GLO: there you get a three for that .
    GLOdelictation@t .
    CHIdeli(c)tation@t .
  10. eng_USA_Brown/sarah056.cha, line 1638 · Sarah, 3;4.01
    GLOspecialization@t .
    CHIspecialization@t .
    GLO*GLO: there's an r@l for you .
    GLOimprecate@t .
    CHIimprecate@t .
  11. eng_USA_Brown/sarah056.cha, line 1646 · Sarah, 3;4.01
    GLOimprecate@t .
    CHIimprecate@t .
    GLO*GLO: there's an a@l for you .
    GLOqualify@t .
    CHIqualifies@t .

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_Brown7.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah056.chaSarah 3;4.011,57211117.00

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. there11 · 100.0%