PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (378 utterances, 1,497 words searched).

  1. what kind of ice+cream ? MOT · eng_USA_Brown/sarah029.cha, line 16 · Sarah 2;09
  2. what kind of ice+cream ? FAT · eng_USA_Brown/sarah029.cha, line 104 · Sarah 2;09
  3. is Mummy going to make you some more of those ? FAT · eng_USA_Brown/sarah029.cha, line 361 · Sarah 2;09
  4. come on # out of there . MOT · eng_USA_Brown/sarah029.cha, line 1105 · Sarah 2;09
  1. eng_USA_Brown/sarah029.cha, line 16 · Sarah, 2;9.14
    CHIxxx .
    MOT*MOT: what kind of ice+cream ?
    MOTwhat's this xxx in here # this red stuff ?
    MOToh # I know what it is .
  2. eng_USA_Brown/sarah029.cha, line 104 · Sarah, 2;9.14
    FATwhat's Mummy doing for you ?
    CHIice+cream .
    FAT*FAT: what kind of ice+cream ?
    FATwhat do we call them ?
    FATa popsicle ?
  3. eng_USA_Brown/sarah029.cha, line 361 · Sarah, 2;9.14
    CHIa buy new one .
    CHIbig # big # big .
    FAT*FAT: is Mummy going to make you some more of those ?
    CHI0 .
    MOTis it good ?
  4. eng_USA_Brown/sarah029.cha, line 1105 · Sarah, 2;9.14
    CHIyes I want +/.
    MOTno # you don't .
    MOT*MOT: come on # out of there .
    CHII want bus .
    MOTyou're not gonna have a bath right now ?

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_Brown2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah029.chaSarah 2;9.141,497442.67

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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