PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

9.39 per 1,000 words of the child (CHI), in 1 of 1 transcripts (299 utterances, 852 words searched).

  1. she has to buy some . CHI · eng_USA_Brown/sarah049.cha, line 56 · Sarah 3;02
  2. he has to # buy # some . CHI · eng_USA_Brown/sarah049.cha, line 60 · Sarah 3;02
  3. <I go(t) to have some more though> [//] this full o(f) water . CHI · eng_USA_Brown/sarah049.cha, line 388 · Sarah 3;02
  4. I ge(t) some water . CHI · eng_USA_Brown/sarah049.cha, line 451 · Sarah 3;02
  5. I go(t) some # xxx . CHI · eng_USA_Brown/sarah049.cha, line 762 · Sarah 3;02
  6. I have some too . CHI · eng_USA_Brown/sarah049.cha, line 786 · Sarah 3;02
  7. do you want some ? CHI · eng_USA_Brown/sarah049.cha, line 835 · Sarah 3;02
  8. in this some yyy . CHI · eng_USA_Brown/sarah049.cha, line 903 · Sarah 3;02
  1. CHIyeah .
    GLOdoes Sarah have any dogs ?
    CHI*CHI: she has to buy some .
    GLOum .
    CHIhe has to # buy # some .
  2. CHIshe has to buy some .
    GLOum .
    CHI*CHI: he has to # buy # some .
    CHII go(t) uh # ge(t) a baby .
    CHII +...
  3. GLOok ?
    GLOwe'll have a tea party .
    CHI*CHI: <I go(t) to have some more though> [//] this full o(f) water .
    CHII ge(t) cup +...
    MOThuh ?
  4. GLOhere's the saucer .
    GLOput the cup in the saucer .
    CHI*CHI: I ge(t) some water .
    GLOoh # how <about that cup> [?] ?
    MOTxxx [?] .
  5. GLOmake+believe .
    CHIok .
    CHI*CHI: I go(t) some # xxx .
    CHIxxx .
    MOTyou can wash your hands later .
  6. GLOoh # does he like it ?
    CHIyep .
    CHI*CHI: I have some too .
    GLOok .
    CHII have +...
  7. CHIthis black .
    MOThow many mistakes did she make ?
    CHI*CHI: do you want some ?
    GLOnone .
    MOTno ?
  8. CHImake yyy .
    CHIhe died .
    CHI*CHI: in this some yyy .
    CHIhuh uh # ow .
    CHIwe ge(t) wet em .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown9.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah049.chaSarah 3;2.16852889.39

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. some8 · 100.0%