PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

7.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (370 utterances, 1,524 words searched).

  1. <that's right # Flintstone> [?] . GLO · eng_USA_Brown/sarah047.cha, line 113 · Sarah 3;02
  2. that's right . GLO · eng_USA_Brown/sarah047.cha, line 119 · Sarah 3;02
  3. that's right # Betty . GLO · eng_USA_Brown/sarah047.cha, line 121 · Sarah 3;02
  4. that's # yes that's right . GLO · eng_USA_Brown/sarah047.cha, line 134 · Sarah 3;02
  5. that's right # I forgot . GLO · eng_USA_Brown/sarah047.cha, line 149 · Sarah 3;02
  6. yours # oh that's right . GLO · eng_USA_Brown/sarah047.cha, line 170 · Sarah 3;02
  7. yeah that's right . GLO · eng_USA_Brown/sarah047.cha, line 388 · Sarah 3;02
  8. that's right . GLO · eng_USA_Brown/sarah047.cha, line 981 · Sarah 3;02
  9. that's right . GLO · eng_USA_Brown/sarah047.cha, line 1002 · Sarah 3;02
  10. that's right . GLO · eng_USA_Brown/sarah047.cha, line 1004 · Sarah 3;02
  11. Tickles # that's right . GLO · eng_USA_Brown/sarah047.cha, line 1475 · Sarah 3;02
  1. GLO<Sarah # what's my Daddy's name> [?] ?
    CHIuh # Flintstone .
    GLO*GLO: <that's right # Flintstone> [?] .
    GLOwhat's my Mommy's name ?
    CHIum # Be(tt)y .
  2. GLOwhat's my Mommy's name ?
    CHIum # Be(tt)y .
    GLO*GLO: that's right .
    GLOthat's right # Betty .
    GLOwhat's your Mommy's name ?
  3. CHIum # Be(tt)y .
    GLOthat's right .
    GLO*GLO: that's right # Betty .
    GLOwhat's your Mommy's name ?
    CHIuh .
  4. GLOwhat's your Daddy's name ?
    CHIuh # my Daddy name # Donny .
    GLO*GLO: that's # yes that's right .
    GLODonny .
    GLOwhere did you go yesterday ?
  5. GLOwho was there ?
    CHIuh # you .
    GLO*GLO: that's right # I forgot .
    GLOI was there .
    GLOwhat did we do there Sarah ?
  6. GLOI remember .
    GLOwhose birthday was it .
    GLO*GLO: yours # oh that's right .
    CHI0 .
    GLOhappy birthday # Sarah .
  7. GLOfor goodness sakes # where'd I put it .
    CHIMommy # you ripped my paper .
    GLO*GLO: yeah that's right .
    GLOoh here it is .
    CHIthat's right .
  8. GLOthis one and this one .
    CHI<chair # chair # chair # chair # chair> [/] # chair # chairs .
    GLO*GLO: that's right .
    CHIuh [/] # uh # ice .
    GLOand what's over there and over there .
  9. GLOand that and that # what are they ?
    CHIa nose ?
    GLO*GLO: that's right .
    GLOthat's right .
    GLOwhat's this ?
  10. CHIa nose ?
    GLOthat's right .
    GLO*GLO: that's right .
    GLOwhat's this ?
    CHIyyy .
  11. MOTwhat's her name ?
    CHITickles .
    GLO*GLO: Tickles # that's right .
    GLOwhat does she do ?
    CHIpush a button <an(d)> [/] (a)n(d) turn the knob .

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_Brown7.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah047.chaSarah 3;2.021,52411117.22

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. right11 · 100.0%