The time course of recognition of reduced disyllabic Japanese words: Evidence from pupillometry with a Go-NoGo task

Abstract

While much attention has been paid to the importance of reduction in spoken word recognition, fewer studies have investigated the effect of reduction over time. Thirty-eight participants’ pupillary responses were measured during the perception of Japanese disyllabic words as they performed a Go-NoGo task. We used 226 lexical items, each of which contained both reduced and citation forms of the words. All stimuli consisted of a word-medial nasal or voiced stop. Results demonstrate that the overall amount of cognitive effort required to process reduced forms was higher than that of canonical forms. That is, greater pupil dilation was observed for reduced forms than for citation forms. This result is in line with previous research (e.g., Tucker, 2011). Specifically, pupil dilation was greater with reduced forms in the time window of 436 ms to 2000 ms after the onset of stimuli. Our results also indicate that the pattern of pupil dilation over time with reduced forms differs from citation forms, indicating that reduced forms show a later onset and offset of peak dilation and more gradual constriction of pupil compared to citation forms.

The role of phonology-to-orthography consistency in predicting the degree of pupil dilation induced in processing reduced and unreduced speech

“…Third, GAMM allowed us to control for serial dependency in time series data, namely, autocorrelation (see Baayen et al (2017) and Wood (2017) for an overview of autocorrelation in GAMM). Because of this functionality, GAMM has been utilized not only to model pupillometric data (Lõo et al, 2016; Mukai et al, 2018; Porretta & Tucker, 2019; van Rij et al, 2019), but a variety of non-linear time series data, such as electromagnetic articulography data, the position of tongue and lips during speech (Wieling et al, 2016), formant trajectory data, the time course of formant frequencies in speech (Sóskuthy, 2017), visual world eye-tracking data (Porretta et al, 2016; Veivo et al, 2016), and event-related potential data (Kryuchkova et al, 2012; Meulman et al, 2015; Porretta et al, 2017). We performed model fitting and comparisons in the statistical environment R, version 3.4.4 (R Development Core Team, 2018) using the package mgcv (Wood, 2017), version 1.8-23 and itsadug (van Rij et al, 2017), version 2.3.…”

Mining Text Value in Japanese Translation Teaching Based on KH Coder Text Data

“…Secondly, translation textbooks should follow up the development of translation research and highlight the characteristics of the discipline of translation. Finally, translation textbooks should be clearly positioned to fit the concept of Japanese language education [6][7].…”