Typology of rhythm reconsidered: an SLA perspective

2012 ◽  
Vol 65 (2) ◽  
Author(s):  
Marie Ploquin

AbstractThis paper offers an analysis of various typologies of speech rhythm with a Second Language Acquisition (SLA) perspective. The notion of isochrony and the enduring stress- and syllable-time theory are shown to be perception-, rather than production-, related. Duration-centered statistical approaches are found to measure phonotactics rather than establish a functional typology. It is further argued that no existing rhythmic typology can be recognized as efficiently organizing data to enable grouping and comparison of languages, a highly coveted tool in SLA. The outline of an SLA relevant classification, taking into account phonological elements and phonetic processes, is sketched.

2008 ◽  
Vol 123 (5) ◽  
pp. 3886-3886 ◽  
Author(s):  
Francisco Gutiérrez Díez ◽  
Volker Dellwo ◽  
Núria Gavaldà ◽  
Stuart Rosen

2017 ◽  
Vol 40 (1) ◽  
pp. 153-169 ◽  
Author(s):  
Phillip Hamrick ◽  
Rebecca Sachs

Artificial linguistic systems (ALSs) offer many potential benefits for second language acquisition (SLA) research. Nonetheless, their use in experiments with posttest-only designs can give rise to internal validity problems depending on the baseline that is employed to establish evidence of learning. Researchers in this area often compare experimental groups’ performance against (a) statistical chance, (b) untrained control groups’ performance, and/or (c) trained control groups’ performance. However, each of these methods can involve unwarranted tacit assumptions, limitations, and challenges from a variety of sources (e.g., preexisting perceptual biases, participants’ fabrication of rules, knowledge gained during the test), any of which might produce systematic response patterns that overlap with the linguistic target even in the absence of learning during training. After illustrating these challenges, we offer some brief recommendations regarding how triangulation and more sophisticated statistical approaches may help researchers to draw more appropriate conclusions going forward.


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