PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (414 utterances, 1,606 words searched).

  1. come on (a)n(d) see how bad your God damned thing . NEI · eng_USA_Brown/sarah054.cha, line 252 · Sarah 3;03
  2. <&we> [//] how [/] how_come it's doing that ? MOT · eng_USA_Brown/sarah054.cha, line 497 · Sarah 3;03
  3. oh # look at how nice the Mother's diapering the baby . GLO · eng_USA_Brown/sarah054.cha, line 800 · Sarah 3;03
  4. oh # how nice . GLO · eng_USA_Brown/sarah054.cha, line 849 · Sarah 3;03
  5. oh # my how nice . GLO · eng_USA_Brown/sarah054.cha, line 870 · Sarah 3;03
  6. how (a)bout that . GLO · eng_USA_Brown/sarah054.cha, line 893 · Sarah 3;03
  7. let's see how your doll is doing . GLO · eng_USA_Brown/sarah054.cha, line 954 · Sarah 3;03
  1. CHIMommy # I get it .
    CHI(o)k # xxx .
    NEI*NEI: come on (a)n(d) see how bad your God damned thing .
    NEIwhat's this .
    MOT# it's just pourin(g) down .
  2. CHIorange+juice goin(g) up my lips .
    MOTyeah .
    MOT*MOT: <&we> [//] how [/] how_come it's doing that ?
    CHIuh # <I eat too &ma> [//] I eat two orange+juice .
    MOTwell eat it nice .
  3. MOThere's your xxx .
    CHIMother .
    GLO*GLO: oh # look at how nice the Mother's diapering the baby .
    MOToh+boy .
    CHIhe(r)e's a pin for her .
  4. MOTis that bett(er) ?
    GLOshow me .
    GLO*GLO: oh # how nice .
    GLOyou better cradle her in your arms here .
    GLOlike this # that's it .
  5. GLOis she drinking ?
    CHIsee +...
    GLO*GLO: oh # my how nice .
    GLOgee what a pretty baby you have .
    GLOdoes your baby have a name ?
  6. CHII'm a big Sarah .
    GLOyou're a big Sarah and she's little Sarah .
    GLO*GLO: how (a)bout that .
    GLOthis thing all wet huh ?
    GLOjust like a baby .
  7. MOToh # it is huh ?
    CHIhuh .
    GLO*GLO: let's see how your doll is doing .
    GLOdid she wet ?
    CHIuhuh .

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_Brown4.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah054.chaSarah 3;3.201,606774.36

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. how7 · 100.0%