scholarly journals The Role of Anti-harmony in Learning Neutral Vowels

2019 ◽  
Vol 7 ◽  
Author(s):  
Sara Finley
Keyword(s):  
Artificial Grammar Learning ◽  
Artificial Grammar ◽  
Vowel Harmony ◽  
Front Vowel ◽  
Learning Paradigm ◽  
Grammar Learning ◽  
Back Vowel

The present study used an artificial grammar learning paradigm to explore the prediction that exposure to anti-harmony might help learners infer that a neutral vowel in a vowel harmony language is transparent. Participants were exposed to a back/round harmony language with a neutral vowel [a]. This neutral vowel either always selected a back vowel suffix,  always selected a front vowel suffix, or selected both front-and back vowel suffixes, in adherence to anti-harmony. Results indicated that exposure to a back/round harmony with the neutral vowel selecting either back vowel suffixes, or both front and back vowel suffixes, could induce a bias towards transparent vowels. Assuming that participants inferred that the centralized [a] paired with [o] harmonically, then the predictions that exposure to anti-harmony could induce a bias towards a transparent vowel interpretation were borne out. However, the bias towards a transparent vowel was not significantly different between the anti-harmony conditions and the harmony condition, suggesting that this effect should be replicated with other neutral vowels.

The role of working memory in artificial grammar learning

2009 ◽  
Author(s):  
Michelle A. Hendricks ◽  
Christopher M. Conway ◽  
Ronald T. Kellogg
Keyword(s):  
Working Memory ◽  
Artificial Grammar Learning ◽  
Artificial Grammar ◽  
Grammar Learning

scholarly journals Perceptually Based Constraints and Metathesis: Evidence from Artificial Grammar

2017 ◽  
Vol 4 ◽  
Author(s):  
Sara Finley
Keyword(s):  
Syllable Structure ◽  
Artificial Grammar ◽  
English Speakers ◽  
Perceptual Cues ◽  
Contributing Factors ◽  
Learning Paradigm ◽  
Syllable Boundary ◽  
Grammar Learning ◽  
Definition Of

The present paper explores the role of sonority and other perceptual constraints in governing syllable structure constraints. One of the most important issues in phonology today is the formalization of the phonetic grounding of markedness constraints (Hayes and Steriade 2004). Sonority constraints have been particularly controversial because there is no formalized definition of sonority, but rather several different contributing factors, such as intensity, constriction and formant transitions, that all vary depending on context (Henke, Kaisse, and Wright 2012; Wright 2004). This paper makes use of an artificial grammar learning paradigm, whereby adult English speakers were exposed to a consonant-consonant metathesis pattern that either improved sonority at a syllable boundary, or worsened sonority at a syllable boundary. Learners did not show generalization in line with sonority-based syllable contact laws, but instead showed generalization in accordance with avoidance of a voiced obstruent in coda position, thus supporting a theory of sonority and syllable contact that makes use of the interaction of perceptual cues, rather than a strict, abstract sonority hierarchy.

The Role of Simple Semantics in the Process of Artificial Grammar Learning

2017 ◽  
Vol 46 (5) ◽  
pp. 1285-1308
Author(s):  
Birgit Öttl ◽  
Gerhard Jäger ◽  
Barbara Kaup
Keyword(s):  
Artificial Grammar Learning ◽  
Artificial Grammar ◽  
Grammar Learning
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