PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (763 utterances, 2,777 words searched).

  1. who can let the house fall down ? GLO · eng_USA_Brown/sarah063.cha, line 52 · Sarah 3;05
  2. may be shot down further . GRA · eng_USA_Brown/sarah063.cha, line 67 · Sarah 3;05
  3. why did it fall down # dear ? GLO · eng_USA_Brown/sarah063.cha, line 309 · Sarah 3;05
  4. down town ? MOT · eng_USA_Brown/sarah063.cha, line 331 · Sarah 3;05
  5. why did you fall down Sarah ? GLO · eng_USA_Brown/sarah063.cha, line 374 · Sarah 3;05
  6. down there . GRA · eng_USA_Brown/sarah063.cha, line 1186 · Sarah 3;05
  7. fell down . GLO · eng_USA_Brown/sarah063.cha, line 1518 · Sarah 3;05
  8. want to come down and dance later ? GRA · eng_USA_Brown/sarah063.cha, line 1577 · Sarah 3;05
  9. Courtney's down there . MOT · eng_USA_Brown/sarah063.cha, line 1626 · Sarah 3;05
  1. GLOwhat kind of house is this ?
    GLOis it a funny house ?
    GLO*GLO: who can let the house fall down ?
    CHIyou .
    GLOcan I fit in there ?
  2. MOTxxx .
    GRAyes .
    GRA*GRA: may be shot down further .
    GLO<whe(re)> [/] # where does that go ?
    GRAno use spend it .
  3. CHI0 [=! yells] .
    GRAxxx (be)cause xxx that stuff .
    GLO*GLO: why did it fall down # dear ?
    CHI(be)cause put it on uh +...
    MOTyeah .
  4. GLOok ?
    GRAI was goin(g) call my mother xxx on time .
    MOT*MOT: down town ?
    GRAuh # no .
    GRAxxx .
  5. CHIfall down .
    GRA(be)cause I have the car xxx .
    GLO*GLO: why did you fall down Sarah ?
    GRAyou see shadow soon ?
    MOTyeah .
  6. GLOwhat cha looking for ?
    MOTxxx .
    GRA*GRA: down there .
    GRAyeah .
    MOTxxx .
  7. CHIred .
    CHIpretty .
    GLO*GLO: fell down .
    MOTwhat's this one ?
    GLOthat's a locomotive .
  8. CHIyeah .
    GRAyeah .
    GRA*GRA: want to come down and dance later ?
    CHIyeah .
    GRAyeah .
  9. MOToh # oh # oh +...
    CHICourtney # xxx .
    MOT*MOT: Courtney's down there .
    MOTyeah .
    MOTwhat'd you do to that one ?

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_Brown3.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah063.chaSarah 3;5.202,777993.24

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. down9 · 100.0%