Average Pause Ratio as an Indicator of Cognitive Effort in Post-Editing: A Case Study

Isabel Lacruz · Gregory M. Shreve · Erik Angelone

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Translation Studies and Practices Natural Language Processing Techniques Neurobiology of Language and Bilingualism

Abstract

Pauses are known to be good indicators of cognitive demand in monolingual language production and in translation. However, a previous effort by O’Brien (2006) to establish an analogous relationship in post-editing did not produce the expected result. In this case study, we introduce a metric for pause activity, the average pause ratio, which is sensitive to both the number and duration of pauses. We measured cognitive effort in a segment by counting the number of complete editing events. We found that the average pause ratio was higher for less cognitively demanding segments than for more cognitively demanding segments. Moreover, this effect became more pronounced as the minimum threshold for pause length was shortened.

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References

2001Repairing Texts: Empirical Investigations of Machine Translation Post-Editing Processes 2010Uncertainty, uncertainty management and metacognitive problem solving in the translation task 2006Pauses as Indicators of Cognitive Effort in Post-editing Machine Translation Output 2008Execution and pauses in writing narratives: Processing time, cognitive effort and typing skill 2011The process of post-editing: a pilot study 2005Methodologies for Measuring the Correlations between Post-Editing Effort and Machine Translatability 2009Exploring Translation and Interpreting Hybrids. The Case of Sight Translation

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2020Quantifying the Effect of Machine Translation in a High-Quality Human Translation Production Process 2015On the Operationalisation of 'Pauses' in Translation Process Research 2018Moving Boundaries in Translation Studies 2014Computer-Assisted Translation: An Empirical Investigation of Cognitive Effort 2018Translating in fits and starts: pause thresholds and roles in the research of translation processes

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