首页> 外国专利> Example-based translation method and system which calculates word similarity degrees, a priori probability, and transformation probability to determine the best example for translation

Example-based translation method and system which calculates word similarity degrees, a priori probability, and transformation probability to determine the best example for translation

机译:基于示例的翻译方法和系统,可计算单词相似度,先验概率和变换概率来确定最佳翻译示例

摘要

A translating apparatus and a translating method wherein a first language sentence is divided into syntax units consisting of predetermined units of sentence structure such as clauses and phrases in stages from large syntax units into small syntax units and at each stage stored examples most similar to these syntax units are detected using probability models taking into account grammatical attributes of the syntax units and of the examples and using generalized linguistic knowledge and with reference to a thesaurus and the syntax units are translated on the basis of these detected examples and the results of translation of the syntax units are compounded to generate a second language sentence. The invention makes it possible to carry out high- quality translating efficiently and therefore at a high processing speed while eliminating the need for many superficially different examples having the same meaning content to be prepared and the need for the thesaurus to be regularly structured or have uniform distances between concepts.
机译:一种翻译设备和翻译方法,其中将第一语言句子划分为由句子结构的预定单元(例如从句结构到小语法单元的阶段中的子句和短语)的预定单元组成的语法单元,并且在每个阶段存储与这些语法最相似的示例使用考虑了语法单元和示例的语法属性的概率模型并使用广义语言知识并参考同义词库来检测语法单元,并根据这些检测到的示例和翻译结果对语法单元进行翻译复合语法单元以生成第二语言句子。本发明使得可以有效地并且因此以高处理速度执行高质量翻译,同时消除了需要准备具有相同含义内容的许多表面上不同的示例的需要,并且不需要同义词库被规则地构造或具有统一的需要。概念之间的距离。

著录项

  • 公开/公告号US6161083A

    专利类型

  • 公开/公告日2000-12-12

    原文格式PDF

  • 申请/专利权人 SONY CORPORATION;

    申请/专利号US19970839989

  • 发明设计人 ALEXANDER FRANZ;KEIKO HORIGUCHI;

    申请日1997-04-24

  • 分类号G06F17/20;G06F17/27;

  • 国家 US

  • 入库时间 2022-08-22 01:06:09

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号