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Dissertation - Michael Becker

Dissertation - Michael Becker

Dissertation - Michael Becker

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words. In order to match the proportion of alternating stops in each place, both alternatingand non-alternating words will need to be tracked.Imagine a learner that has learned just two paradigms, amaÙ∼ amaÃ-1 and sepet ∼sepet-i. While one alternates and the other doesn’t, no inconsistency is detected yet, sinceIDENT(voice) interacts with two different markedness constraints (43).(43)IDENT(voice) *VtV *VÙVa. amaÃ-1 ≻ amaÙ-1 L Wb. sepet-i ≻ seped-i W LRunning RCD on (43) yields the clone-free grammar *VÙV ≫ IDENT(voice) ≫ *VtV.If the speaker learns the word anaÙ∼ anaÙ-1, however, the grammar becomes inconsistent(44).(44)IDENT(voice) *VtV *VÙVa. amaÃ-1 ≻ amaÙ-1 L Wb. anaÙ-1 ≻ anaÃ-1 W Lc. sepet-i ≻ seped-i W LSince there are no columns in (44) that don’t have L’s in them, RCD stalls. Cloningeither *VÙV or IDENT(voice) can resolve the inconsistency. In this case, *VÙV is chosensince its column has the least number of non-empty cells (choosing a constraint to clonebased on the number of non-empty cells is discussed in §4.2). The result of cloning *VÙVis shown below:49

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