Mail::SpamAssassin::Plugin::TextCat - TextCat language guesser
This plugin will try to guess the language used in the message body text.
You can use the "ok_languages" directive to set which languages are considered okay for incoming mail and if the guessed language is not okay,
UNWANTED_LANGUAGE_BODY is triggered.
It will always add the results to a "X-Language" name-value pair in the message metadata data structure. This may be useful as Bayes tokens and can also be used in rules for scoring. The results can also be added to marked-up messages using "add_header", with the _LANGUAGES_ tag. See Mail::SpamAssassin::Conf for details.
Note: the language cannot always be recognized with sufficient confidence. In that case, no action is taken.
This option is used to specify which languages are considered okay for incoming mail. SpamAssassin will try to detect the language used in the message body text.
Note that the language cannot always be recognized with sufficient confidence. In that case, no action is taken.
UNWANTED_LANGUAGE_BODY is triggered if none of the languages detected are in the "ok" list. Note that this is the only effect of the "ok" list. It does not act as a whitelist against any other form of spam scanning.
In your configuration, you must use the two or three letter language specifier in lowercase, not the English name for the language. You may also specify
all if a desired language is not listed, or if you want to allow any language. The default setting is
ok_languages all (allow all languages) ok_languages en (only allow English) ok_languages en ja zh (allow English, Japanese, and Chinese)
Note: if there are multiple ok_languages lines, only the last one is used.
Select the languages to allow from the list below:
This option is used to specify which languages will not be considered when trying to guess the language. For performance reasons, supported languages that have fewer than about 5 million speakers are disabled by default. Note that listing a language in
ok_languages automatically enables it for that user.
The default setting is:
That list is Bosnian, Welsh, Esperanto, Estonian, Basque, Frisian, Irish Gaelic, Scottish Gaelic, Icelandic, Latin, Lithuanian, Latvian, Rhaeto-Romance, Sanskrit, Scots, Slovenian, and Yiddish.
The maximum number of languages any one message can simultaneously match before its classification is considered unknown.
If the number of ngrams is lower than this number then they will be removed. This can be used to speed up the program for longer inputs. For shorter inputs, this should be set to 0.
The maximum number of ngrams that should be compared with each of the languages models (note that each of those models is used completely).
Include any language that scores at least
textcat_acceptable_score in the returned list of languages.