潜在语义分析与机器翻译

Mahmoud Mobaraki, Abolfazl Mosaffa Jahromi
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引用次数: 0

摘要

收稿日期:2018年10月07日收稿日期:2018年10月20日发布日期:2018年11月30日卷:1期:4 DOI: 10.32996/ijllt.2018.1.4.5基于计算机的翻译系统不是人工翻译的竞争对手,但它们有助于提高技术翻译的生产力。机器翻译的目的是承担整个翻译过程,但其输入必须不断修改。潜在语义分析和概率潜在语义分析是两种新发展起来的计算模型,它们在机器翻译中的应用将解决机器在解释人类知识理解方式方面面临的一些问题。关键字
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Latent Semantic Analysis and Machine Translation
Received: October 07, 2018 Accepted: October 20, 2018 Published: November 30, 2018 Volume: 1 Issue: 4 DOI: 10.32996/ijllt.2018.1.4.5 Computer-based translation systems are not rivals to human translators, but they are aids to enable them to increase productivity in technical translation. Machine translation aims to undertake the whole translation process, but whose input must invariably be revised. Latent Semantic Analysis and Probabilistic Latent Semantic Analysis are two newly developed computational models which their application in machine translation will solve some of the problems facing machines in accounting for the way human knowledge is comprehended. KEYWORDS
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