Reading is an adequate measure of fluency since it eliminates the use of memory (Pasquarella et al., 2014). Experimental data with lexical access tasks shows reduced fluency in bilinguals compared to monolinguals (Ouzia and Folke, 2016; Sandoval et al., 2010). However, bilinguals also displayed cognitive advantages compared to monolinguals (Bialystok et al., 2012; Spinu et al., 2018, 2020), but these findings are disputed (Marzecova, 2016). The main research aims for this study are to determine whether (1) being a bi- or multilingual is associated with reduced reading fluency and (2) there is an additive effect of the number of languages spoken on reading fluency. Audio recordings of a short English paragraph were collected from 147 undergraduate students of diverse linguistic backgrounds (i.e., monolinguals, bilinguals, and trilinguals). The recordings are currently being analyzed manually for disfluencies such as hesitations, repetitions, mispronunciations / self-corrections, reading speed, and filled pauses (e.g., ‘er', ‘um', ‘ah', ‘like'). A final fluency score will be computed for each participant in order to evaluate our research questions. Our study thus expands bilingual fluency research to a reading task, adding to the body of work on multilingual cognition and the controversial phenomenon known as the bilingual advantage.
Skip Nav Destination
Article navigation
October 2020
Meeting abstract. No PDF available.
October 01 2020
Reading fluency in mono- and multilinguals: Is there an additive effect of the number of languages spoken?
Beckie D. Dugaillard
Beckie D. Dugaillard
Communications & Performing Arts, City Univ. of New York - Lehman College, 2001 Oriental Blvd, Brooklyn, NY 11235, [email protected]
Search for other works by this author on:
J. Acoust. Soc. Am. 148, 2500 (2020)
Citation
Beckie D. Dugaillard; Reading fluency in mono- and multilinguals: Is there an additive effect of the number of languages spoken?. J. Acoust. Soc. Am. 1 October 2020; 148 (4_Supplement): 2500. https://doi.org/10.1121/1.5146936
Download citation file:
Citing articles via
A survey of sound source localization with deep learning methods
Pierre-Amaury Grumiaux, Srđan Kitić, et al.
Rapid detection of fish calls within diverse coral reef soundscapes using a convolutional neural network
Seth McCammon, Nathan Formel, et al.
Related Content
An examination of articulatory skill in monolinguals and multilinguals: A tongue twister experiment
J. Acoust. Soc. Am. (October 2020)
Gender and speech fluency in Mandarin and English news interviews
J Acoust Soc Am (October 2021)
Automatic proficiency judgments: Accentedness, fluency, and comprehensibility
J Acoust Soc Am (October 2021)
Effect of hesitation sound phonetic quality on perception of language fluency
J. Acoust. Soc. Am. (October 2020)
Perceptual consequences of pauses: Credibility and fluency of native and non-native speech
J. Acoust. Soc. Am. (October 2020)