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将文本翻译成一种维护母音和的语言的文字质量的象征性分析
1Sapporo Gakuin University, Ebetsu 069-8555, Japan.
Entropy (Basel, Switzerland)
|September 27, 2025
概括
本研究应用顺序模式分析来评估日文文本翻译质量,比较人文和机器翻译. 机器翻译显示出令人惊的高分,这表明自然语言处理的潜在进步.
科学领域:
- 语言学的语言学.
- 计算语言学 计算语言学
- 信息理论 信息理论
背景情况:
- 在自然科学和社会科学中建立了基于顺序模式的方法.
- 它们在人文学科中的应用,特别是文本翻译质量分析,是新的.
研究的目的:
- 调查顺序模式分析用于评估翻译文本的适用性.
- 评估日语翻译质量,重点关注维护母音和.
- 为了比较人类和机器翻译的性能.
主要方法:
- 使用基于顺序模式的方法.
- 采用赫林格距离和千-平方统计学作为差异指标.
- 分析了一本日本小说,日本宪法的序言,以及侦探故事的翻译 (人类和机器).
主要成果:
- 机器翻译 (DeepL,谷歌翻译) 呈现出意想不到的高质量分数.
- 基于顺序模式的方法被证明适用于分析人文学科翻译质量.
- 差异指标为文本忠实性提供了可量化的见解.
结论:
- 顺序模式分析为物理与语言学之间的跨学科研究提供了一种新的方法.
- 当前的机器翻译技术在维护语言细微差别方面显示出有希望的结果.
- 需要进一步的研究才能充分理解机器翻译在保存特定语言特征 (如母音和) 的潜力.
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