| 基于词向量空间模型的机器翻译质量评价分析——以石油术语有道翻译为例 |
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| 引用本文： | 陈柯,柴启栋.基于词向量空间模型的机器翻译质量评价分析——以石油术语有道翻译为例[J].中国科技术语,2022,24(2):21-25. |
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| 作者姓名： | 陈柯 柴启栋 |
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| 作者单位： | 西安石油大学外国语学院,陕西西安 710065 |
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| 基金项目： | 陕西省2021年外语学科专项课题项目(2021ND0624);西安市2021年社会科学基金重点项目(WL78) |
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| 摘 要： | 文章从问题意识视角出发,以石油术语为基础,引入词向量空间模型的方法展开三个相关实验对机器译文和人工译文进行对比研究,探索机器翻译结果在空间模型中的演绎和呈现。实验结果显示机器翻译对于石油术语的语言翻译准度能达到0.403。文章尝试结合计算机技术、语言学和翻译学等不同领域量化论证两种翻译结果在语义层面的接近和靠拢程度,以期探索评价分析机器翻译系统输出结果质量的新途径。
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| 关 键 词： | 机器翻译 向量空间模型 石油术语 语义相似度 |
| 收稿时间： | 2021-05-26 |
| 修稿时间： | 2021-09-24 |
The Results Analysis of Machine Translation on Petroleum Engineering Terms Based on Vector Space Model |
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| CHEN Ke,CHAI Qidong.The Results Analysis of Machine Translation on Petroleum Engineering Terms Based on Vector Space Model[J].Chinese Science and Technology Terms Journal,2022,24(2):21-25. |
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| Authors: | CHEN Ke CHAI Qidong |
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| Abstract: | From the perspective of problem awareness, this paper conducted an in-depth terminology analysis on machine translation and manual translation by training vector space model. Three experiments were performed by the means of training the vector space model to compare the results of machine translation. These experiments demonstrate the similarity between machine translation and manual translation is 0.403. Integrated with computer technology, linguistics and translation, this paper focuses on the semantic similarity between machine translation and manual translation that aims to blaze a new way for results evaluation of machine translation. |
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| Keywords: | machine translation vector space model petroleum terms semantic similarity |
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