用多语言嵌入空间分析翻译如何影响文本互指性保留
Characterizing the Effects of Translation on Intertextuality using Multilingual Embedding Spaces
- 构建跨语言嵌入空间，量化文本互指性在翻译中的保持程度
- 发现人类译本常夸大原文互指性，机器译本则更中立
- 适合关注文学翻译、语义保真与翻译偏见的研究者
修辞手法难以准确翻译，但对文学文本翻译至关重要。本文利用多语言嵌入空间，研究文本互指性这一常见修辞手法在人工与机器翻译中的保留情况。选取圣经文本作为研究对象，因其富含互指引用且被广泛翻译。提出一种在语料库层面表征互指性的度量方法，并对现存人工译本与机器生成译本进行定量分析。进一步开展定性分析，揭示人类译本有时过度强调互指性，而机器译本则提供更中立的基准。结果支持既有学术观点：人类译者倾向于放大原作的某些文学特征。
原文摘要 · Abstract (English)
Rhetorical devices are difficult to translate, but they are crucial to the translation of literary documents. We investigate the use of multilingual embedding spaces to characterize the preservation of intertextuality, one common rhetorical device, across human and machine translation. To do so, we use Biblical texts, which are both full of intertextual references and are highly translated works. We provide a metric to characterize intertextuality at the corpus level and provide a quantitative analysis of the preservation of this rhetorical device across extant human translations and machine-generated counterparts. We go on to provide qualitative analysis of cases wherein human translations over- or underemphasize the intertextuality present in the text, whereas machine translations provide a neutral baseline. This provides support for established scholarship proposing that human translators have a propensity to amplify certain literary characteristics of the original manuscripts.
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