PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.90 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (400 utterances, 1,796 words searched).

  1. and how did she get back here ? FAT · eng_USA_Brown/sarah132.cha, line 323 · Sarah 4;11
  2. how does she get back and forth ? FAT · eng_USA_Brown/sarah132.cha, line 335 · Sarah 4;11
  3. couldn't be bothered to come back to Cambridge . MEL · eng_USA_Brown/sarah132.cha, line 698 · Sarah 4;11
  4. goin(g) back to the beach ? FAT · eng_USA_Brown/sarah132.cha, line 1070 · Sarah 4;11
  5. when Judy goes back to Panama # and Eileen # and Mary Beth # and Mary Ann # and Sarah # a… MOT · eng_USA_Brown/sarah132.cha, line 1111 · Sarah 4;11
  6. look at her back . MOT · eng_USA_Brown/sarah132.cha, line 1249 · Sarah 4;11
  7. no # go back . MOT · eng_USA_Brown/sarah132.cha, line 1415 · Sarah 4;11
  1. CHIJudy ?
    FATmmhm .
    FAT*FAT: and how did she get back here ?
    FATwhere's Panama ?
    CHIum .
  2. CHIit has ocean and beach <an(d)> [/] # an(d) you can swim in it .
    CHIum +...
    FAT*FAT: how does she get back and forth ?
    CHIfor two planes .
    MELtwo planes ?
  3. CHIdown the beach .
    MOTyeah # he's on his vacation .
    MEL*MEL: couldn't be bothered to come back to Cambridge .
    MOTwe left him down there .
    CHIwe forgot him # huh ?
  4. FATxxx .
    MOTyou can only do that in the water .
    FAT*FAT: goin(g) back to the beach ?
    CHIyeah .
    FATwhy ?
  5. FATyeah # what happens when all those kids go home ?
    MOTsummer's not gonna last forever # Sarah .
    MOT*MOT: when Judy goes back to Panama # and Eileen # and Mary Beth # and Mary Ann # and Sarah # and # Eileen an(d) +...
    CHIyou already said that .
    MOToh # who's the other # who else ?
  6. FATyou're gettin(g) old .
    FATyou're gettin(g) wrinkled # too .
    MOT*MOT: look at her back .
    MOTshe's getting all wrinkled .
    MELit's that two piece bathing+suit .
  7. FATno # go up straight .
    CHII am .
    MOT*MOT: no # go back .
    FATxxx .
    CHII can't .

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_Brown3.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah132.chaSarah 4;11.191,796773.90

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.

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