Question

求翻译！！！！！急用！！！！！！

Developer mailing lists are a rich source of information
about Open Source Software (OSS) development. The un-
structured nature of email makes extracting information dif-
cult. We use a psychometrically-based linguistic analysis
tool, the LIWC, to examine the Apache httpd server devel-
oper mailing list. We conduct three preliminary experiments
to assess the appropriateness of this tool for information ex-
traction from mailing lists. First, using LIWC dimensions
that are correlated with the big ve personality traits, we
assess the personality of four top developers against a base-
line for the entire mailing list. The two developers that were
responsible for the major Apache releases had similar per-
sonalities. Their personalities were different from the base-
line and the other developers. Second, the rst and last 50
emails for two top developers who have left the project are
examined. The analysis shows promise in understanding
why developers join and leave a project. Third, we exam-
ine word usage on the mailing list for two major Apache
releases. The differences may reect the relative success of
each release.
别用翻译软件啊 - -

Answer 1

开发者邮件列表是一个丰富的信息来源
关于开放源码软件（OSS）的发展。联合国人
电子邮件的结构性质使得提取信息昼夜温差，
邪教。我们用一个心理测量为基础的语言分析
工具，LIWC，审查了Apache httpd服务德弗尔-
歌剧院的邮件列表。我们进行的初步实验三
以评估这个工具，对信息的适当前
牵引从邮寄名单。首先，利用LIWC尺寸
这是与大VE的人格特质，我们相关
评估四大开发个性对一个基
线为整个邮件列表。这两个开发人员被
对主要负责Apache发布了类似的每
sonalities。他们的性格是不同的基
行和其他发展商。第二，轻重缓急，过去50
两个谁离开了项目开发的电子邮件是顶部
检查。分析表明在理解的承诺
为什么开发人员加入并留下一个项目。第三，我们应试
关于Apache的邮件列表两大国家统计局单词用法
发布。该差异可能reect相对成功
每一个版本。