Pauses as Indicators of Cognitive Effort in Post-editing Machine Translation Output
Pauses as Indicators of Cognitive Effort in Post-editing Machine Translation Output
复制标题
停顿是机器翻译译后编辑输出中认知努力的指标
DOI：
10.1556/acr.7.2006.1.1
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发表时间：
2006
影响因子：
0.7
通讯作者：
Sharon O’Brien
中科院分区：
文献类型：
--
作者：
Sharon O’Brien
在翻译过程和语言产生研究中，停顿被视为认知处理的指标。研究源文本机器可译性和译后编辑工作之间的相关性涉及对认知工作的评估。因此，对停顿的分析是很有必要的。本文介绍了一个研究项目的数据，其中包括对译后编辑中的停顿进行分析，并使用选择网络分析方法和 Translog 进行三角测量。结果表明，对于那些被认为更适合机器翻译的句子，与那些被认为不太适合的句子相比，暂停与键盘输入的比率没有显着差异。此外，结果证实了其他研究的发现，即停顿持续时间和频率会受到个体差异的影响。最后，我们建议虽然停顿提供了认知处理的一些指示，但需要补充方法才能提供更全面的了解。
In translation process and language production research, pauses are seen as indicators of cognitive processing. Investigating the correlations between source text machine translatability and post-editing effort involves an assessment of cognitive effort. Therefore, an analysis of pauses is essential. This paper presents data from a research project which includes an analysis of pauses in post-editing, triangulated with the Choice Network Analysis method and Translog. Results suggest that the pause-to-keyboarding ratio does not differ significantly for sentences deemed to be more suitable for machine translation than for those deemed to be less suitable. Also, results confirm the finding in research elsewhere that pause duration and frequency is subject to individual differences. Finally, we suggest that while pauses provide some indication of cognitive processing, supplementary methods are required to give a fuller picture.