PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (437 utterances, 590 words searched).

  1. non i(l) dort pas . 106172_108047 MOT · french/lyon_mas17a.cha, line 78 · Marilyn 1;08
  2. i(l) dort ? 1674933_1677012 VAL · french/lyon_mas17a.cha, line 1337 · Marilyn 1;08
  1. MOT0 . 103948_106172
    CHIdort .
    MOT*MOT: non i(l) dort pas . 106172_108047
    CHIpas dort .
    MOT0 . 108047_115207
  2. CHIyyy . 1668975_1672278
    CHIyyy . 1672278_1674933
    VAL*VAL: i(l) dort ? 1674933_1677012
    CHIlà yyy . 1677012_1688127
    CHIyyy .

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. Marilyn french3.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mas17a.chaMarilyn 1;8.29590223.39

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. dort2 · 100.0%