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Automatically finding acronyms and synonyms in a corpus

机译:自动在语料库中查找首字母缩写词和同义词

摘要

Acronym and synonym pairs can be identified and retrieved automatically in a corpus and/or across an enterprise based on customer settings globally or for a single instance. Possible acronym and synonym term pairs can be identified using a rule such as a heuristic, user-defined rule. Rules selected by the user can be used to rank acronym and synonym pairs using factors such as occurrence frequency and maximum term length. A rule interpreter engine executes the user defined rule set to properly identify and retrieve the user selected acronym and synonym pairs through the utilization of a shallow pause read step. Finally, the user selected acronym and synonym pairs are ranked according to the user preferences, and can be displayed or held for subsequent use in searching.
机译:可以基于全局或​​单个实例的客户设置在语料库和/或整个企业中自动识别和检索首字母缩写词和同义词对。可以使用诸如启发式用户定义规则之类的规则来识别可能的首字母缩写词和同义词术语对。用户选择的规则可用于使用诸如出现频率和最大术语长度之类的因素对首字母缩写词和同义词对进行排名。规则解释器引擎执行用户定义的规则集,以通过使用浅暂停读取步骤来正确地标识和检索用户选择的首字母缩写词和同义词对。最后,根据用户的喜好对用户选择的首字母缩写词和同义词对进行排序,并可以显示或保留它们以供随后在搜索中使用。

著录项

  • 公开/公告号US8316007B2

    专利类型

  • 公开/公告日2012-11-20

    原文格式PDF

  • 申请/专利权人 CIYA LIAO;

    申请/专利号US20070770011

  • 发明设计人 CIYA LIAO;

    申请日2007-06-28

  • 分类号G06F17/30;

  • 国家 US

  • 入库时间 2022-08-21 16:43:44

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