PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

4.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (271 utterances, 1,099 words searched).

  1. what's this # a w@l # u@l # h@l +... MOT · eng_USA_Brown/sarah071.cha, line 352 · Sarah 3;07
  2. o:h # o:h . MOT · eng_USA_Brown/sarah071.cha, line 500 · Sarah 3;07
  3. o:h # o:h . MOT · eng_USA_Brown/sarah071.cha, line 500 · Sarah 3;07
  4. s@l # a@l # r@l # a@l # find the h@l . MOT · eng_USA_Brown/sarah071.cha, line 676 · Sarah 3;07
  5. it's an h@l . MOT · eng_USA_Brown/sarah071.cha, line 685 · Sarah 3;07
  1. eng_USA_Brown/sarah071.cha, line 352 · Sarah, 3;7.30
    CHIwhoops !
    MOTwhat ?
    MOT*MOT: what's this # a w@l # u@l # h@l +...
    CHIdub@b # <h@l # h@l # h@l # h@l> [/] # h@l .
    CHIwhere the h@l ?
  2. eng_USA_Brown/sarah071.cha, line 500 · Sarah, 3;7.30
    CHI0 .
    MOTgo right next to the +...
    MOT*MOT: o:h # o:h .
    MOTheaven help ya when I get you in school .
    CHIwell # you make an o@l .
  3. eng_USA_Brown/sarah071.cha, line 676 · Sarah, 3;7.30
    MOThere it is .
    MOTnow look for the a@l # Sarah .
    MOT*MOT: s@l # a@l # r@l # a@l # find the h@l .
    CHIyou got to let this letter is .
    CHIm@l [/] # m@l +...
  4. eng_USA_Brown/sarah071.cha, line 685 · Sarah, 3;7.30
    CHIm@l [/] # m@l +...
    MOTno # this is an m@l .
    MOT*MOT: it's an h@l .
    CHIn@l .
    CHI<n@l # n@l # n@l # n@l> [/] # n@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_Brown4.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah071.chaSarah 3;7.301,099454.55

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. h5 · 100.0%