Lines Matching refs:a

1 # This is a sample wordlist that can be converted to a binary dictionary
3 # The file is essentially a CSV file, with indent level denoting nesting.
5 # The file starts with a single CSV line with the header attributes. Whatever
10 # Each word has a `word' entry and at least a `f' argument denoting its
11 # probability, as an integer between 0 and 255 on a logarithmic scale, with
13 # As a special case, a weight of 0 is taken to mean profanity - words that
14 # should not be considered a typo, but that should never be suggested
15 # explicitly. An entry may be made not a word by adding a `not_a_word'
16 # field with a value of `true'. The main reason for putting such entries
17 # into the dictionary is to add shortcut targets and maybe a whitelist
21 # starting with a `shortcut' entry and having at least a `f' frequency
25 # Each word may also have any number of bigram lines starting with a