Intelligent Human Computer Interaction - 13th International Conference, IHCI 2021, Kent, OH, USA, December 20-22, 2021, Revised Selected Papers
Intelligent Human Computer Interaction - 13th International Conference, IHCI 2021, Kent, OH, USA, December 20-22, 2021, Revised Selected Papers
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智能人机交互 - 第 13 届国际会议,IHCI 2021,美国俄亥俄州肯特,2021 年 12 月 20-22 日,修订后的精选论文
DOI:
10.1007/978-3-030-98404-5_49
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Zou L
中科院分区:
文献类型:
--
作者:
Zou L
Complex syntax may lead to increased cognitive effort during translation. However, it is unclear what kinds of syntactic complexity have a stronger impact on translation performance. In this paper, we employ several syntactic metrics which enable us to explore the impact of syntactic complexity on the quality in English-to-Chinese sight interpreting. We have operationalized syntactic complexity by six metrics, namely, Incomplete Dependency Theory metric (IDT), Dependency Locality Theory metric (DLT), Combined IDT and DLT metric (IDT+DLT), Left Embeddedness metric (LE), Nested Nouns Distancemetric (NND), and Bilingual Complexity Ratio metric (BRC). Three professional translators have manually annotated translation errors using MQM-derived error taxonomies, which includes accuracy, fluency, and style errors, each as critical or minor errors. We assessed inter-rater agreement by adopting weighted Fleiss’ Kappa scores. We found that there are strong correlations between the IDT and IDT+DLT metrics and sight interpreting errors. We also found that language-specific syntactic differences between English and Chinese such as directions of branching and noun modifiers can have a strong influence on accuracy and critical errors.