Article published In: Interpreting
Vol. 22:2 (2020) ► pp.211–237
Modeling the relationship between utterance fluency and raters’ perceived fluency of consecutive interpreting
Published online: 20 March 2020
https://doi.org/10.1075/intp.00040.han
https://doi.org/10.1075/intp.00040.han
Abstract
Fluency is an important, yet insufficiently understood, construct in interpreting studies. This article reports on
an empirical study which explored the relationship between utterance fluency measures and raters’ perceived fluency ratings of
English/Chinese consecutive interpreting. It also examined whether such relationship was consistent across interpreting directions
and rater types. The results partially supported the categorization of utterance fluency into breakdown, speed and repair fluency.
It was also found that mean length of unfilled pauses, phonation time ratio, mean length of run and speech rate had fairly strong
correlations with perceived fluency ratings in both interpreting directions and across rater types. Among a number of competing
regression models that were built to predict raters’ fluency ratings, a parsimonious model, using mean length of unfilled pauses
and mean length of run as predictors, accounted for about 60% of the variance of fluency ratings in both directions and across
rater types. These results are expected to help create, rewrite and modify rubrics and scalar descriptors of fluency scales in
rater-mediated interpretation assessment and to inform automated scoring of fluency in interpreting.
Article outline
- 1.Introduction
- 2.Literature review
- 2.1Fluency as a multifaceted and multidimensional construct
- 2.2Fluency research in second language learning
- 2.3Fluency research in interpreting studies
- 3.Research questions
- 4.Method
- 4.1Participants
- 4.2Interpretation recordings
- 4.3Rater-generated fluency ratings
- 4.4Transcription, annotation and analysis
- 4.5Calculation of utterance fluency measures
- 4.6Data analysis
- 5.Results
- 6.Discussion
- 7.Conclusion
- Acknowledgements
References
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