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. yeah # she has a bone . GLO · eng_USA_Brown/sarah048.cha, line 345 · Sarah 3;02
  2. she has a bone ? GLO · eng_USA_Brown/sarah048.cha, line 347 · Sarah 3;02
  3. yeah # that has to stay on there . MOT · eng_USA_Brown/sarah048.cha, line 442 · Sarah 3;02
  4. she has a big mouth . GLO · eng_USA_Brown/sarah048.cha, line 1244 · Sarah 3;02
  5. oh # that's not Millisan(dy) [//] Gloria has Millisandy . MOT · eng_USA_Brown/sarah048.cha, line 1271 · Sarah 3;02
  1. CHItha(t)'s Pebbles .
    MOT0 .
    GLO*GLO: yeah # she has a bone .
    GLOshe has a bone ?
    GLOyeah # in her head .
  2. MOT0 .
    GLOyeah # she has a bone .
    GLO*GLO: she has a bone ?
    GLOyeah # in her head .
    GLOo:h # yes # there .
  3. MOToh # they're so old .
    MOTwhat ?
    MOT*MOT: yeah # that has to stay on there .
    MOTsee # then next week Esther will put another one over here if ya do good .
    CHItwo bunnies .
  4. GLOshe does ?
    CHI0 .
    GLO*GLO: she has a big mouth .
    CHIxxx .
    CHIeee .
  5. MOTto fit together .
    CHIMillisan(d)y .
    MOT*MOT: oh # that's not Millisan(dy) [//] Gloria has Millisandy .
    MOTdid you know that's Millisandy ?
    GLOoh # this is Millisandy .

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. has5 · 100.0%