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Dialogue Machine Translation Using Multi-Processors

机译:使用多处理器进行对话机器翻译

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摘要

In natural dialogues, speakers may make kinds of mistakes or so called irregular expressions. One of the most difficult porblems Dialogue Machien Translations must deal with is translating irregular expressins in the natural conversation, such as ungrammartic, uncompeleted, or ill-formed sentences. However most existing machien translation system reject utterances including irregular expressions. In this paper, we propose a Dialogue Machien translation uisng Multi-Processors(DMTMP) approach based on Cooperative Distributed natural language procesisng Model(CDM). In the DMTMP, several different type of mathods as following are used in origial language anlaysis and target language generation process simutanously.
机译:在自然对话中,说话者可能会犯各种错误或所谓的不规则表达。对话机器翻译必须处理的最困难的问题之一就是在自然对话中翻译不规则的表达素,例如不语法,不强迫或格式错误的句子。但是,大多数现有的机器翻译系统都会拒绝包括不规则表达在内的语音。本文提出了一种基于协作分布式自然语言处理模型(CDM)的对话机器翻译多处理器(DMTMP)方法。在DMTMP中,以下几种不同类型的数学方法同时用于原始语言分析和目标语言生成过程。

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