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Reading Working Papers in Linguistics 4 (2000) - The University of ...

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P. COUTSOUGERA<br />

different areas <strong>of</strong> the same language.<br />

7.2 Parallelism<br />

A fundamental pr<strong>in</strong>ciple <strong>of</strong> OT is parallelism: evaluation <strong>of</strong> candidates is<br />

performed simultaneously. OT (and consequently ST) is therefore to be<br />

preferred to Serialism because all processes as well as the rank<strong>in</strong>gs<br />

determ<strong>in</strong><strong>in</strong>g them are parallelled and thus abstract <strong>in</strong>termediate levels <strong>of</strong><br />

representations, which are claimed to be psychologically implausible <strong>in</strong><br />

human languages, are avoided. <strong>The</strong> question is though: “Are phonological<br />

processes really parallelled <strong>in</strong> ST?”.<br />

Let us try to work out the algorithm <strong>of</strong> ST: GEN generates<br />

candidates among which there is the optimal one and the sympathetic<br />

one. However, it appears that EVAL acts <strong>in</strong> two steps / stages: after the<br />

selector constra<strong>in</strong>t has selected the ❀candidate, the ❀constra<strong>in</strong>t mediates<br />

<strong>in</strong> the evaluation. EVAL checks which candidates are faithful or not to<br />

the ❀candidate with respect to the content <strong>of</strong> the ❀constra<strong>in</strong>t and discards<br />

the candidates which are unfaithful to it. It then checks which <strong>of</strong> the<br />

surviv<strong>in</strong>g candidates are faithful or not to the <strong>in</strong>put with respect to the<br />

content <strong>of</strong> the other faithfulness constra<strong>in</strong>ts while also checks violations /<br />

fulfilments <strong>of</strong> markedness constra<strong>in</strong>ts. Apparently, this cannot be a<br />

parallel process.<br />

In order to symbolically describe the process <strong>of</strong> select<strong>in</strong>g the<br />

optimal candidate, let us def<strong>in</strong>e Cand to be the set <strong>of</strong> all the candidates<br />

and C the set <strong>of</strong> the constra<strong>in</strong>ts, both <strong>of</strong> which are potentially <strong>in</strong>f<strong>in</strong>ite, i.e.<br />

i<br />

{ cd :i = 1,2 ∞}<br />

Cand = ,...,<br />

We def<strong>in</strong>e an <strong>in</strong>dicator function<br />

violates some constra<strong>in</strong>t j ( C ) as Ι<br />

j<br />

and = { C : j = 1,2,...,<br />

∞}<br />

i, j<br />

C j .<br />

Ι to denote whether or not i ( cd )<br />

⎧<br />

= ⎨<br />

⎩<br />

0 , if<br />

i violates j<br />

i, j<br />

.<br />

1, if<br />

i obeys<br />

<strong>The</strong> first step is to elim<strong>in</strong>ate all the candidates that violate the<br />

❀constra<strong>in</strong>t, result<strong>in</strong>g <strong>in</strong> a reduced set F 1. F 1, a subset <strong>of</strong> Cand, is the set<br />

that conta<strong>in</strong>s all successful candidates and symbolically we write<br />

F = −<br />

⎧ i i ⎫<br />

1 Cand ⎨cd<br />

:*! cd ⎬<br />

⎩ j<br />

, where *! stands for violation.<br />

sym ⎭<br />

<strong>The</strong> second step is to choose the optimal candidate among the<br />

candidates <strong>in</strong> F 1 . From now on we proceed as <strong>in</strong> a normal OT tableau and<br />

j<br />

i<br />

38

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