PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. do you want him to talk to you ? GLO · eng_USA_Brown/sarah047.cha, line 89 · Sarah 3;02
  2. do you want Bam_Bam to talk to you ? GLO · eng_USA_Brown/sarah047.cha, line 94 · Sarah 3;02
  3. you want to give it to me # and I'll make him talk to you . GLO · eng_USA_Brown/sarah047.cha, line 99 · Sarah 3;02
  4. Pebbles is goin(g) a talk to ya . GLO · eng_USA_Brown/sarah047.cha, line 547 · Sarah 3;02
  5. yeah # he and she can talk . MOT · eng_USA_Brown/sarah047.cha, line 634 · Sarah 3;02
  6. well # let him talk to his sister . GLO · eng_USA_Brown/sarah047.cha, line 675 · Sarah 3;02
  1. eng_USA_Brown/sarah047.cha, line 89 · Sarah, 3;2.02
    GLOyou think you're kiddin(g) me .
    CHIwww .
    GLO*GLO: do you want him to talk to you ?
    CHIxxx .
    GLOdo you want Bam_Bam to talk to you ?
  2. eng_USA_Brown/sarah047.cha, line 94 · Sarah, 3;2.02
    GLOdo you want him to talk to you ?
    CHIxxx .
    GLO*GLO: do you want Bam_Bam to talk to you ?
    CHIum # yes .
    GLOyou want to give it to me # and I'll make him talk to you .
  3. eng_USA_Brown/sarah047.cha, line 99 · Sarah, 3;2.02
    GLOdo you want Bam_Bam to talk to you ?
    CHIum # yes .
    GLO*GLO: you want to give it to me # and I'll make him talk to you .
    GLOok ?
    CHIhey # I go ge(t) two pencils .
  4. eng_USA_Brown/sarah047.cha, line 547 · Sarah, 3;2.02
    GLOyou be Pebbles +/.
    MOT<his teeth> [//] his teeth didn't come out .
    GLO*GLO: Pebbles is goin(g) a talk to ya .
    CHIawoh .
    CHIhe too big to me .
  5. eng_USA_Brown/sarah047.cha, line 634 · Sarah, 3;2.02
    MOTsee ?
    CHIhe see talkin(g) .
    MOT*MOT: yeah # he and she can talk .
    MOTshakes her head .
    MOT(a)n(d) close her eyes .
  6. eng_USA_Brown/sarah047.cha, line 675 · Sarah, 3;2.02
    GLOwhere's Bam_Bam ?
    CHIright here .
    GLO*GLO: well # let him talk to his sister .
    CHIyyy Bam_Bam .
    CHII tuck .

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_Brown3.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah047.chaSarah 3;2.021,524663.94

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. talk6 · 100.0%