The README for SpamAssassin makes some very strong claims.
SpamAssassin的自述文件中有下列非常有力的声明。
Razor is optionally called by a number of other filter tools, such as SpamAssassin.
其它一些过滤器工具(譬如，SpamAssassin)可以随意地调用Razor。
Or even more subtly, SpamAssassin gives more +ve points for more valid hashcash bits.
SpamAssassin甚至更巧妙地为更多合法hashcash比特提供了更高的 +ve分数。
As a side benefit, a Graham-style Bayesian filter is also simpler and faster than SpamAssassin.
附带的好处是，graham样式的贝叶斯过滤器还是比SpamAssassin更快和更简单。
SpamAssassin runs much quicker than distributed blacklists, which need to query network servers.
在速度方面，SpamAssassin比分布式黑名单运行得更快，因为分布式黑名单需要查询网络服务器。
In its most recent test, SpamAssassin differentiated between spam and non-spam mail correctly in 99.94% of cases.
在最近的测试中，SpamAssassin区分垃圾邮件和非垃圾邮件的正确率达到了99.94%。
SpamAssassin, for example, provides the sa-learn script, which you can tell to identify the message as Spam or Ham, accordingly.
例如SpamAssassin，它提供了sa -learn脚本，您可以使用该脚本将消息分别标识为垃圾邮件或者非垃圾邮件(Ham)。
SpamAssassin (and similar tools) evaluate a large number of patterns — mostly regular expressions — against a candidate message.
对要识别的消息，SpamAssassin(及其它类似工具)评估了大量的模式—大多数是正则表达式。
Listing 1 shows a simple Perl script that accesses a global mailbox, downloads each message, and then reports the content to spamassassin and Razor.
清单1显示了一个简单perl脚本，它可以访问全局邮箱、下载每个消息、然后向spamassassin和Razor报告其中的内容。
Listing 1 shows a simple Perl script that accesses a global mailbox, downloads each message, and then reports the content to spamassassin and Razor.
清单1显示了一个简单perl脚本，它可以访问全局邮箱、下载每个消息、然后向spamassassin和Razor报告其中的内容。
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