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. got the right idea # though . MEL · eng_USA_Brown/sarah102.cha, line 179 · Sarah 4;03
  2. right ? FAT · eng_USA_Brown/sarah102.cha, line 733 · Sarah 4;03
  3. where's your right ? FAT · eng_USA_Brown/sarah102.cha, line 780 · Sarah 4;03
  4. you're reading from left to right . FAT · eng_USA_Brown/sarah102.cha, line 786 · Sarah 4;03
  5. yes # it's the right way # yeah . MOT · eng_USA_Brown/sarah102.cha, line 1120 · Sarah 4;03
  1. CHIand +...
    MOTshe has em all backwards .
    MEL*MEL: got the right idea # though .
    MELthat's ok if you look at it upside upside+down .
    MOTSarah # make a nine .
  2. CHIum # s@l ?
    FATthat's an i@l .
    FAT*FAT: right ?
    FATsee the i@l ?
    CHIyeah .
  3. FATno # y(ou) know you're goin(g) backwards here too .
    FATyou're readin(g) from this side to that side .
    FAT*FAT: where's your right ?
    CHIum .
    FATwhere's your left ?
  4. CHIum .
    FATwhere's your left ?
    FAT*FAT: you're reading from left to right .
    FATwhere's your left ?
    CHIleft ?
  5. CHIwait a minute .
    CHIis zat de right way ?
    MOT*MOT: yes # it's the right way # yeah .
    CHIum .
    CHI# what comes after c@l ?

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. right5 · 100.0%