PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

4.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (234 utterances, 859 words searched).

  1. tell Courtney his name . GRA · eng_USA_Brown/sarah039.cha, line 81 · Sarah 2;11
  2. Sarah # did you tell Courtney about your a # party ? MOT · eng_USA_Brown/sarah039.cha, line 115 · Sarah 2;11
  3. Courtney wasn't there . MOT · eng_USA_Brown/sarah039.cha, line 362 · Sarah 2;11
  4. oh # did you tell Courtney you got stung by a bee ? MOT · eng_USA_Brown/sarah039.cha, line 508 · Sarah 2;11
  1. GRAyeah # it's your doggie too .
    GRAwhat's his name ?
    GRA*GRA: tell Courtney his name .
    CHIa Mike .
    GRAno [?] !
  2. COUTeppy .
    MOTwww .
    MOT*MOT: Sarah # did you tell Courtney about your a # party ?
    MOT<tomo(rrow)> [//] # tell her tomorrow's your birthday ?
    CHI(to)morrow my birthday !
  3. CHIum # Nana .
    CHIum # Courtney .
    MOT*MOT: Courtney wasn't there .
    CHIyeah .
    MOTno .
  4. MOTsome day we'll throw them all in the washing machine .
    CHI0 .
    MOT*MOT: oh # did you tell Courtney you got stung by a bee ?
    CHII got # bee .
    MOTyeah # she got stung by a bee .

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_Brown4.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah039.chaSarah 2;11.30859444.66

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. courtney4 · 100.0%