PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 1,245 words searched).

  1. Sarah # make a nine . MOT · eng_USA_Brown/sarah102.cha, line 184 · Sarah 4;03
  2. I love the way she makes nine . MOT · eng_USA_Brown/sarah102.cha, line 186 · Sarah 4;03
  3. no # a nine # honey . MOT · eng_USA_Brown/sarah102.cha, line 190 · Sarah 4;03
  4. this kind of a nine . MOT · eng_USA_Brown/sarah102.cha, line 193 · Sarah 4;03
  5. that's a nine . MOT · eng_USA_Brown/sarah102.cha, line 202 · Sarah 4;03
  1. MELgot the right idea # though .
    MELthat's ok if you look at it upside upside+down .
    MOT*MOT: Sarah # make a nine .
    MOTI love the way she makes nine .
    CHIdo I know how to make a i@l ?
  2. MELthat's ok if you look at it upside upside+down .
    MOTSarah # make a nine .
    MOT*MOT: I love the way she makes nine .
    CHIdo I know how to make a i@l ?
    MOTno # a nine # honey .
  3. MOTI love the way she makes nine .
    CHIdo I know how to make a i@l ?
    MOT*MOT: no # a nine # honey .
    MOTthis kind of a nine .
    MOTlike that .
  4. CHIdo I know how to make a i@l ?
    MOTno # a nine # honey .
    MOT*MOT: this kind of a nine .
    MOTlike that .
    MOTthere .
  5. MOTlike that .
    MOTthere .
    MOT*MOT: that's a nine .
    MOTshe makes em backwards .
    MOTshe probably won't do it 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_Brown4.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah102.chaSarah 4;3.261,245554.02

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. nine5 · 100.0%