PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.55 per 1,000 words of the child (CHI), in 1 of 1 transcripts (266 utterances, 927 words searched).

  1. (be)cause look it . CHI · eng_USA_Brown/sarah109.cha, line 21 · Sarah 4;05
  2. (be)cause I +... CHI · eng_USA_Brown/sarah109.cha, line 146 · Sarah 4;05
  3. (be)cause it have both lines # I guess . CHI · eng_USA_Brown/sarah109.cha, line 394 · Sarah 4;05
  4. see # dis can be a poodle . CHI · eng_USA_Brown/sarah109.cha, line 729 · Sarah 4;05
  5. (be)cause he had a beard . CHI · eng_USA_Brown/sarah109.cha, line 832 · Sarah 4;05
  6. does a mouth (sup)posed to be right dere ? CHI · eng_USA_Brown/sarah109.cha, line 954 · Sarah 4;05
  7. yeah # but I don't (sup)posed to be like that . CHI · eng_USA_Brown/sarah109.cha, line 974 · Sarah 4;05
  1. CHIyeah .
    MOTChantilly # I'm gonna murder you .
    CHI*CHI: (be)cause look it .
    CHIsee ?
    GAIwhat is it ?
  2. MELyou wrapped it for me .
    MELit's a good job .
    CHI*CHI: (be)cause I +...
    MELChristmas in January .
    CHII +...
  3. CHIhey # it stick to my dress .
    MELwhy did it do that ?
    CHI*CHI: (be)cause it have both lines # I guess .
    MELit has both lines ?
    CHIum .
  4. CHIyeah .
    CHIsee ?
    CHI*CHI: see # dis can be a poodle .
    CHIsee # that's how ya make a poodle .
    MOTthat's how you make a poodle ?
  5. CHIhe has many legs .
    MOThow_come he's got so many legs ?
    CHI*CHI: (be)cause he had a beard .
    MOThe had a what ?
    CHIbeard .
  6. MELI know .
    MELwhy don't you draw another one ?
    CHI*CHI: does a mouth (sup)posed to be right dere ?
    MELif that's where you want it # it supposed to be there .
    MELthat's kind of a mixed up person .
  7. MELwhat if you had your nose down here ?
    MOTyou think you'd look kind o(f) silly ?
    CHI*CHI: yeah # but I don't (sup)posed to be like that .
    MOTSarah # Sarah don't scream .
    MELbetter watch out for that # Gail .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown7.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah109.chaSarah 4;5.14927777.55

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. be7 · 100.0%