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Learnability of derivationally opaque processes in the Gestural Harmony Model
2021
In this paper, we examine the learnability of two apparently derivationally opaque vowel harmony patterns: attested stepwise height harmony and unattested saltatory height harmony. We analyze these patterns within the Gestural Harmony Model (Smith, 2018) and introduce a learning algorithm for setting the gestural parameters that generate these harmony patterns. Results of the learning model indicate a learning bias in favor of the attested stepwise pattern and against the unattested saltation
doi:10.7275/4ydq-zb48
fatcat:kxwpwzensrg3pdh6jrd5ukat6a