PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,304 words searched).

  1. shall we talk ? GLO · eng_USA_Brown/sarah048.cha, line 256 · Sarah 3;02
  2. what kind of game should we play ? GLO · eng_USA_Brown/sarah048.cha, line 279 · Sarah 3;02
  3. <he really> [//] every cent Donny paid for him # we got our money's worth out of em . MOT · eng_USA_Brown/sarah048.cha, line 831 · Sarah 3;02
  4. we had a big argument over that doll the other day . MOT · eng_USA_Brown/sarah048.cha, line 869 · Sarah 3;02
  5. we're not goin(g) through that again . MOT · eng_USA_Brown/sarah048.cha, line 1372 · Sarah 3;02
  1. eng_USA_Brown/sarah048.cha, line 256 · Sarah, 3;2.10
    CHIo:h # hello day .
    GLOxxx .
    GLO*GLO: shall we talk ?
    CHIyeah .
    GLOhello Bam_Bam .
  2. eng_USA_Brown/sarah048.cha, line 279 · Sarah, 3;2.10
    GLOdo you want to play with me ?
    CHIyeah .
    GLO*GLO: what kind of game should we play ?
    CHIhandball .
    GLOhandball ?
  3. eng_USA_Brown/sarah048.cha, line 831 · Sarah, 3;2.10
    CHIBugs_Bunny .
    MOTthat poor thing .
    MOT*MOT: <he really> [//] every cent Donny paid for him # we got our money's worth out of em .
    MOTand he's still goin(g) strong .
    MOTwhat's he eating ?
  4. eng_USA_Brown/sarah048.cha, line 869 · Sarah, 3;2.10
    CHIum Donna .
    MOToh .
    MOT*MOT: we had a big argument over that doll the other day .
    CHIwhat ?
    CHIDonna ?
  5. eng_USA_Brown/sarah048.cha, line 1372 · Sarah, 3;2.10
    CHIneed the kleenex .
    MOTno # you don't need the kleenex .
    MOT*MOT: we're not goin(g) through that again .
    MOTthat's it .
    CHIwhy ?

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_Brown3.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah048.chaSarah 3;2.101,304553.83

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. we5 · 100.0%