PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

11.82 per 1,000 words of the child (CHI), in 1 of 1 transcripts (338 utterances, 677 words searched).

  1. I got xxx . CHI · eng_USA_Brown/sarah028.cha, line 101 · Sarah 2;09
  2. I got two . CHI · eng_USA_Brown/sarah028.cha, line 103 · Sarah 2;09
  3. you got crayon(s) ? CHI · eng_USA_Brown/sarah028.cha, line 334 · Sarah 2;09
  4. you got any ? CHI · eng_USA_Brown/sarah028.cha, line 338 · Sarah 2;09
  5. got hands . CHI · eng_USA_Brown/sarah028.cha, line 492 · Sarah 2;09
  6. he got two hands . CHI · eng_USA_Brown/sarah028.cha, line 496 · Sarah 2;09
  7. (have)n't got any ? CHI · eng_USA_Brown/sarah028.cha, line 591 · Sarah 2;09
  8. he got car xxx . CHI · eng_USA_Brown/sarah028.cha, line 932 · Sarah 2;09
  1. MOTyeah .
    MOTthat my pencil ?
    CHI*CHI: I got xxx .
    CHII got two .
    MOTyeah ?
  2. MOTthat my pencil ?
    CHII got xxx .
    CHI*CHI: I got two .
    MOTyeah ?
    MOTyou're a lucky little girl # aren't you .
  3. CHII write crayon .
    MOTyou haven't got any .
    CHI*CHI: you got crayon(s) ?
    MOTI haven't got any .
    CHIyou got any ?
  4. CHIyou got crayon(s) ?
    MOTI haven't got any .
    CHI*CHI: you got any ?
    MOTno .
    MOTwe'll buy some when we go to the square tomorrow .
  5. MOTmonkey # and a little boy # and a horsie !
    CHIah ?
    CHI*CHI: got hands .
    MOThe got hands # huh ?
    CHIhe got two hands .
  6. CHIgot hands .
    MOThe got hands # huh ?
    CHI*CHI: he got two hands .
    MOTtwo hands # yeah .
    CHIxxx .
  7. CHII write c(r)a(yon) .
    MOTwe haven't got any .
    CHI*CHI: (have)n't got any ?
    MOTno .
    CHIxxx crayons all gone .
  8. MOTI think he's kind of a funny man # don't you ?
    MOThmm ?
    CHI*CHI: he got car xxx .
    MOTyeah # he's got a car .
    MOTover here .

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_Brown11.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.066778811.82

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. got8 · 100.0%