Choice Network Analysis as a Tool for Depicting Word-Image Interaction
Choice Network Analysis as a Tool for Depicting Word-Image Interaction
复制标题
选择网络分析作为描述文字-图像交互的工具
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Anne Ketola
中科院分区：
文献类型：
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作者：
Anne Ketola
本研究探讨了插图技术文本翻译过程中的文字-图像交互。为此目的采用的方法是选择网络分析，它比较多个译者对同一源文本的翻译，以便凭经验得出翻译每个口头项目时可用的选项，即一组可能的解决方案。该研究的数据包括由一组硕士水平翻译学生制作的插图技术文本的八个翻译。该研究旨在评估多模态源文本提供的选项是否完全基于口头信息或两种不同模式的意义协商。分析表明视觉信息可以修改言语信息；在最极端的情况下，视觉信息可能会导致口头信息被完全忽视。这表明图像可以重新赋予翻译中言语项目的含义。
The present study inquires into word-image interaction in the translation process of illustrated technical texts. The method employed for this purpose is Choice Network Analysis, which compares the translations of the same source text by multiple translators in order to empirically derive the options, the set of possible solutions, that are available when translating each verbal item. The data of the study consists of eight translations of an illustrated technical text, produced by a group of Master’s level translations students. The study sets out to assess if the options offered by the multimodal source text are based entirely on verbal information or on a negotiation of meaning from two different modes. The analysis implies that visual information could modify verbal information; in the most extreme cases, visual information could cause verbal information being disregarded altogether. This indicates that images can reattribute the meaning of verbal items in translation.