PHPCLANCHILDES with regular expressions

5 matches in 3 utterances

5.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 975 words searched).

  1. these are are letters . MOT · eng_USA_Brown/sarah066.cha, line 76 · Sarah 3;06
  2. these are are letters . MOT · eng_USA_Brown/sarah066.cha, line 76 · Sarah 3;06
  3. <are only> [//] # are you only a little kid ? MOT · eng_USA_Brown/sarah066.cha, line 355 · Sarah 3;06
  4. <are only> [//] # are you only a little kid ? MOT · eng_USA_Brown/sarah066.cha, line 355 · Sarah 3;06
  5. what do you think you are ? MOT · eng_USA_Brown/sarah066.cha, line 605 · Sarah 3;06
  1. CHImy itchy bottom .
    MOThere's an easy one .
    MOT*MOT: these are are letters .
    MOTyou know that .
    MOTa@l +...
  2. MOTit's on right .
    MOTyeah .
    MOT*MOT: <are only> [//] # are you only a little kid ?
    CHI0 .
    MOTyeah .
  3. CHI0 .
    MOTif I hit you on the head # you'd be screamin(g) .
    MOT*MOT: what do you think you are ?
    MOTI mean +...
    CHI0 [=! makes noises] .

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_Brown5.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah066.chaSarah 3;6.23975355.13

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. are5 · 100.0%