2022
DOI: 10.18261/nordand.17.1.4
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Multilingual speakers’ L1, L2, and L3 fluency across languages: A study of Finnish, Swedish, and English

Abstract: The present study provides a multilingual perspective on speech fluency by examining fluency across first language (L1), second language (L2), and third language (L3) productions in Finnish, Swedish and English among L1 Finnish (Group 1, G1) and Finnish-Swedish bilingual (Group 2, G2) university students in Finland. The two research questions focused on differences in speech fluency across the three languages between the groups and correlations across speech fluency measures in the different languages. 90 spee… Show more

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Cited by 3 publications
(4 citation statements)
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“…While a consistent finding in several utterance fluency studies using correlation and regression analyses has been that there are connections between learners' L1 and L2 fluency features (e.g., De Jong et al 2015;Duran-Karaoz & Tavakoli 2020), perceived fluency studies have rarely addressed connections between L1 fluency and listeners' assessments of L2 fluency. Some utterance fluency studies also indicate that the connections between L1 and L2/L3 fluency measures are potentially influenced by cross-linguistic differences and learners' proficiency level in the target language (Huensch & Tracy-Ventura 2017;Peltonen 2018;Peltonen & Lintunen 2022). In one of the few studies examining L1 and L2 fluency links in an assessment context, Pinget et al (2014) examined connections between L2 Dutch fluency ratings and both traditional L2 fluency measures and L1-adjusted fluency measures (residuals obtained from correlating L1 and L2 fluency measures) for L1 Turkish and English (N=30) speakers.…”
Section: Approaches To Listener Perceptions Of Lfluencymentioning
confidence: 99%
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“…While a consistent finding in several utterance fluency studies using correlation and regression analyses has been that there are connections between learners' L1 and L2 fluency features (e.g., De Jong et al 2015;Duran-Karaoz & Tavakoli 2020), perceived fluency studies have rarely addressed connections between L1 fluency and listeners' assessments of L2 fluency. Some utterance fluency studies also indicate that the connections between L1 and L2/L3 fluency measures are potentially influenced by cross-linguistic differences and learners' proficiency level in the target language (Huensch & Tracy-Ventura 2017;Peltonen 2018;Peltonen & Lintunen 2022). In one of the few studies examining L1 and L2 fluency links in an assessment context, Pinget et al (2014) examined connections between L2 Dutch fluency ratings and both traditional L2 fluency measures and L1-adjusted fluency measures (residuals obtained from correlating L1 and L2 fluency measures) for L1 Turkish and English (N=30) speakers.…”
Section: Approaches To Listener Perceptions Of Lfluencymentioning
confidence: 99%
“…The speech data used in the present study were collected as part of a project Fluency across Multilingual Speakers (MultiFluency; funded by the Swedish Cultural Foundation in Finland) and selected based on our previous research on these speakers' utterance fluency in Finnish, Swedish, and English (see Peltonen & Lintunen 2022). The speakers were 20 Finnish-speaking and 10 Finnish-Swedish bilingual university students of language subjects from two Finnish universities, most of whom studied English as either their major (n=21) or minor (n=5) subject (see Table 1 for a summary of the speakers' background information).…”
Section: Speech Datamentioning
confidence: 99%
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“…Instead of group-level analyses of fluency and proficiency, a more individual analysis can reveal the mechanisms of how speaking styles and differences in general cognitive processing have an effect on L2 fluency within speakers; especially with more proficient language users, these impacts are more highlighted. This can be seen in, for example, the frequency and duration of pauses, which are influenced by L1 speaking style, especially for proficient language users (e.g., Derwing et al 2009; for fluency features in Finnish, see, e.g., Peltonen & Lintunen 2022;Toivola et al 2009). In addition, repairs seem to depend on many factors, including resources for monitoring for mistakes and choosing to engage in a repair, as in whether the language user prefers speed or accuracy of the speech (see, e.g., the Complexity-Accuracy-Fluency framework, Kuiken & Vedder 2022).…”
Section: Introductionmentioning
confidence: 99%