机器翻译会削弱文本的语义范围，影响情感分析准确性。
Contextual effects of sentiment deployment in human and machine translation
- 对比人译与机译，发现机译更压缩语义场。
- 机译使含认知意义的词语义范围缩小，影响情感判断。
- 适合关注翻译对情感分析干扰的研究者阅读。
本文揭示了翻译过程可能改变文本整体情感倾向，并探讨其对依赖机器翻译和语义相似度评估的自动化情感分析的影响。尽管人类与机器翻译均会使译文词汇更符合目标语言的情感频率分布，但只有机器翻译会显著缩小文本的整体语义范围，尤其体现在具有认知含义的词语上。这一现象可能导致基于语义相似性的分析出现偏差。
原文摘要 · Abstract (English)
This paper illustrates how the overall sentiment of a text may be shifted in translation and the implications for automated sentiment analyses, particularly those that utilize machine translation and assess findings via semantic similarity metrics. While human and machine translation will produce more lemmas that fit the expected frequency of sentiment in the target language, only machine translation will also reduce the overall semantic field of the text, particularly in regard to words with epistemic content.
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