PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 985 words searched).

  1. tell Courtney why you were in the dog house . MOT · eng_USA_Brown/sarah038.cha, line 107 · Sarah 2;11
  2. tell Courtney why . MOT · eng_USA_Brown/sarah038.cha, line 114 · Sarah 2;11
  3. Sarah # you didn't tell Courtney about the horsie and the # and the cows # and everything . MOT · eng_USA_Brown/sarah038.cha, line 336 · Sarah 2;11
  4. gonna tell Courtney about the big horsie you were on . MOT · eng_USA_Brown/sarah038.cha, line 342 · Sarah 2;11
  5. tell Courtney your birthday was coming ? MOT · eng_USA_Brown/sarah038.cha, line 828 · Sarah 2;11
  1. eng_USA_Brown/sarah038.cha, line 107 · Sarah, 2;11.23
    MOTwhy ?
    MOThmm ?
    MOT*MOT: tell Courtney why you were in the dog house .
    MOTtell her .
    MOTtell Courtney why .
  2. eng_USA_Brown/sarah038.cha, line 114 · Sarah, 2;11.23
    MOTtell Courtney why you were in the dog house .
    MOTtell her .
    MOT*MOT: tell Courtney why .
    MOTaren't you gonna talk today ?
    MOThmm ?
  3. eng_USA_Brown/sarah038.cha, line 336 · Sarah, 2;11.23
    CHIa rug .
    CHIdo it right dere .
    MOT*MOT: Sarah # you didn't tell Courtney about the horsie and the # and the cows # and everything .
    MOTabout the horsie you were on .
    MOTgonna tell Courtney about the big horsie you were on .
  4. eng_USA_Brown/sarah038.cha, line 342 · Sarah, 2;11.23
    MOTSarah # you didn't tell Courtney about the horsie and the # and the cows # and everything .
    MOTabout the horsie you were on .
    MOT*MOT: gonna tell Courtney about the big horsie you were on .
    CHImy horsie my on .
    MOTand all the cows that you saw # you were in the barn and everything ?
  5. eng_USA_Brown/sarah038.cha, line 828 · Sarah, 2;11.23
    MOTyeah # that's a spoon .
    CHIdat go in (th)ere .
    MOT*MOT: tell Courtney your birthday was coming ?
    CHImy birthday coming .
    MOTfinally # huh .

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_Brown5.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah038.chaSarah 2;11.23985555.08

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. courtney5 · 100.0%