基于信息搜索的人机交互翻译认知决策研究
Cognitive decision-making in human-machine interactive translation: evidence from information searching
本研究从信息搜索的视角探究机器翻译对译者认知过程的影响。研究通过键盘记录软件Translog II 和屏幕录制软件 BB FlashBack Pro 5 对比分析人工翻译与人机交互翻译的信息搜索过程,并在测前和测后实施问卷调查。研究围绕加工时长分配、信息搜索特征和译文质量三个维度展开,研究结果表明:1)人机交互翻译能够节省译者的信息搜索时间,但在翻译计划阶段耗时相对较多;2) 人机交互翻译中的信息搜索次数低于人工翻译,搜索行为主要表现为词汇的语义检索;3) 人机交互翻译质量高于人工翻译,翻译学习者对使用机器翻译持积极的态度,机器翻译可在一定程度上解决翻译过程中的词汇检索问题。研究结果可为优化翻译信息搜索行为,促进人机翻译教学改革提供数据支撑和参考。
This study investigates the impact of machine translation on the cognitive decision-making processes of translators from the perspective of information searching. The study has compared and analyzed the information searching process of machine translation post-editing and human translation. Key-logging tool Translog II and screen recording of BB FlashBack Pro 5 were used, supplemented with pre- and post-test questionnaires. The study focused on three dimensions: time allocation during processing, information search patterns, and translation quality. The findings show that: (1) machine translation post-editing saves translators’ time on information search but requires more time for the planning stage; (2) the number of information-searching instances in post-editing was lower than those in human translation, with search behaviors primarily focused on semantic retrieval of vocabulary; (3) the quality of post-editing quality is better than that of manual translation. Translation learners hold a positive attitude towards the use of machine translation, as machine translation helps in resolving vocabulary searching. The findings provide empirical support and useful reference points for optimizing information search in translation and advancing the reform of machine translation post-editing.
human-computer interaction / decision-making of translators / information-searching behavior